期刊文献+
共找到202篇文章
< 1 2 11 >
每页显示 20 50 100
Adaptive variable structure control for large-scale time-delayed systems with unknown nonlinear dead-zone 被引量:1
1
作者 Shen Qikun Zhang Tianping 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2007年第4期865-870,共6页
The problem of adaptive fuzzy control for a class of large-scale, time-delayed systems with unknown nonlinear dead-zone is discussed here. Based on the principle of variable structure control, a design scheme of adapt... The problem of adaptive fuzzy control for a class of large-scale, time-delayed systems with unknown nonlinear dead-zone is discussed here. Based on the principle of variable structure control, a design scheme of adaptive, decentralized, variable structure control is proposed. The approach removes the conditions that the dead-zone slopes and boundaries are equal and symmetric, respectively. In addition, it does not require that the assumptions that all parameters of the nonlinear dead-zone model and the lumped uncertainty are known constants. The adaptive compensation terms of the approximation errors axe adopted to minimize the influence of modeling errors and parameter estimation errors. By theoretical analysis, the closed-loop control system is proved to be semiglobally uniformly ultimately bounded, with tracking errors converging to zero. Simulation results demonstrate the effectiveness of the approach. 展开更多
关键词 nonlinear dead-zone decentralized control adaptive control variable structure control
下载PDF
Adaptive Variable Structure Control of MIMO Nonlinear Systems with Time-varying Delays and Unknown Dead-zones 被引量:7
2
作者 Tian-Ping Zhang Cai-Ying Zhou Qing Zhu 《International Journal of Automation and computing》 EI 2009年第2期124-136,共13页
In this paper, adaptive variable structure neural control is presented for a class of uncertain multi-input multi-output (MIMO) nonlinear systems with state time-varying delays and unknown nonlinear dead-zones. The ... In this paper, adaptive variable structure neural control is presented for a class of uncertain multi-input multi-output (MIMO) nonlinear systems with state time-varying delays and unknown nonlinear dead-zones. The unknown time-varying delay uncer- tainties are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. The approach removes the assumption of linear function outside the deadband without necessarily constructing a dead-zone inverse as an added contribution. By utilizing the integral-type Lyapunov function and introducing an adaptive compensation term for the upper bound of the residual and optimal approximation error as well as the dead-zone disturbance, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded. In addition, a modified adaptive control algorithm is given in order to avoid the high-frequency chattering phenomenon. Simulation results demonstrate the effectiveness of the approach. 展开更多
关键词 Adaptive control neural networks (NNs) variable structure control dead-zone nonlinear time-varying delay systems.
下载PDF
Design of Observer-based Adaptive Controller for Nonlinear Systems with Unmodeled Dynamics and Actuator Dead-zone 被引量:1
3
作者 Xue-Li Wu Xiao-Jing Wu +1 位作者 Xiao-Yuan Luo Quan-Min Zhu 《International Journal of Automation and computing》 EI 2011年第2期201-208,共8页
This paper presents an up-to-date study on the observer-based control problem for nonlinear systems in the presence of unmodeled dynamics and actuator dead-zone.By introducing a dynamic signal to dominate the unmodele... This paper presents an up-to-date study on the observer-based control problem for nonlinear systems in the presence of unmodeled dynamics and actuator dead-zone.By introducing a dynamic signal to dominate the unmodeled dynamics and using an adaptive nonlinear damping to counter the effects of the nonlinearities and dead-zone input,the proposed observer and controller can ensure that the closed-loop system is asymptotically stable in the sense of uniform ultimate boundedness.Only one adaptive parameter is needed no matter how many unknown parameters there are.The system investigated is more general and there is no need to solve Linear matrix inequality (LMI).Moreover,with our method,some assumptions imposed on nonlinear terms and dead-zone input are relaxed.Finally,simulations illustrate the effectiveness of the proposed adaptive control scheme. 展开更多
关键词 OBSERVER nonlinear system unmodelded dynamics adaptive actuator dead-zone.
下载PDF
Parameter estimation for dual-rate sampled Hammerstein systems with dead-zone nonlinearity 被引量:1
4
作者 WANG Hongwei CHEN Yuxiao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2020年第1期185-193,共9页
The identification of nonlinear systems with multiple sampled rates is a difficult task.The motivation of our paper is to study the parameter estimation problem of Hammerstein systems with dead-zone characteristics by... The identification of nonlinear systems with multiple sampled rates is a difficult task.The motivation of our paper is to study the parameter estimation problem of Hammerstein systems with dead-zone characteristics by using the dual-rate sampled data.Firstly,the auxiliary model identification principle is used to estimate the unmeasurable variables,and the recursive estimation algorithm is proposed to identify the parameters of the static nonlinear model with the dead-zone function and the parameters of the dynamic linear system model.Then,the convergence of the proposed identification algorithm is analyzed by using the martingale convergence theorem.It is proved theoretically that the estimated parameters can converge to the real values under the condition of continuous excitation.Finally,the validity of the proposed algorithm is proved by the identification of the dual-rate sampled nonlinear systems. 展开更多
关键词 dual-rate sampled data dead-zone nonlinearity Hammerstein model system identification convergence analysis
下载PDF
Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks
5
作者 Xiaoting Du Lei Zou Maiying Zhong 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第3期638-648,共11页
The present study addresses the problem of fault estimation for a specific class of nonlinear time-varying complex networks,utilizing an unknown-input-observer approach within the framework of dynamic event-triggered ... The present study addresses the problem of fault estimation for a specific class of nonlinear time-varying complex networks,utilizing an unknown-input-observer approach within the framework of dynamic event-triggered mechanism(DETM).In order to optimize communication resource utilization,the DETM is employed to determine whether the current measurement data should be transmitted to the estimator or not.To guarantee a satisfactory estimation performance for the fault signal,an unknown-input-observer-based estimator is constructed to decouple the estimation error dynamics from the influence of fault signals.The aim of this paper is to find the suitable estimator parameters under the effects of DETM such that both the state estimates and fault estimates are confined within two sets of closed ellipsoid domains.The techniques of recursive matrix inequality are applied to derive sufficient conditions for the existence of the desired estimator,ensuring that the specified performance requirements are met under certain conditions.Then,the estimator gains are derived by minimizing the ellipsoid domain in the sense of trace and a recursive estimator parameter design algorithm is then provided.Finally,a numerical example is conducted to demonstrate the effectiveness of the designed estimator. 展开更多
关键词 Dynamic event-triggered mechanism(DETM) fault estimation nonlinear time-varying complex networks set-member-ship filtering unknown input observer
下载PDF
Terminal Angular Constraint Integrated Guidance and Control for Flexible Hypersonic Vehicle with Dead-Zone Input Nonlinearity
6
作者 Hewei Zhao 《Journal of Beijing Institute of Technology》 EI CAS 2020年第4期489-503,共15页
This paper presents an integrated guidance and control model for a flexible hypersonic vehicle with terminal angular constraints.The integrated guidance and control model is bounded and the dead-zone input nonlinearit... This paper presents an integrated guidance and control model for a flexible hypersonic vehicle with terminal angular constraints.The integrated guidance and control model is bounded and the dead-zone input nonlinearity is considered in the system dynamics.The line of sight angle,line of sight angle rate,attack angle and pitch rate are involved in the integrated guidance and control system.The controller is designed with a backstepping method,in which a first order filter is employed to avoid the differential explosion.The full tuned radial basis function(RBF)neural network(NN)is used to approximate the system dynamics with robust item coping with the reconstruction errors,the exactitude model requirement is reduced in the controller design.In the last step of backstepping method design,the adaptive control with Nussbaum function is used for the unknown dynamics with a time-varying control gain function.The uniform ultimate boundedness stability of the control system is proved.The simulation results validate the effectiveness of the controller design. 展开更多
关键词 hypersonic vehicle terminal angular constraint dead-zone input nonlinearity full tuned radial basis function(RBF)neural network(NN) integrated guidance and control
下载PDF
Modelling of ultrasonic motor with dead-zone based on Hammerstein model structure 被引量:9
7
作者 Xin-liang ZHANG Yong-hong TAN 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2008年第1期58-64,共7页
The ultrasonic motor (USM) possesses heavy nonlinearities which vary with driving conditions and load-dependent characteristics such as the dead-zone. In this paper, an identification method for the rotary travelling-... The ultrasonic motor (USM) possesses heavy nonlinearities which vary with driving conditions and load-dependent characteristics such as the dead-zone. In this paper, an identification method for the rotary travelling-wave type ultrasonic motor (RTWUSM) with dead-zone is proposed based on a modified Hammerstein model structure. The driving voltage contributing effect on the nonlinearities of the RTWUSM was transformed to the change of dynamic parameters against the driving voltage. The dead-zone of the RTWUSM is identified based upon the above transformation. Experiment results showed good agreement be- tween the output of the proposed model and actual measured output. 展开更多
关键词 Ultrasonic motor (USM) Hammerstein model dead-zone nonlinearITY IDENTIFICATION
下载PDF
Tracking Control of Uncertain Nonlinear Systems With Unknown Constant Input Delay 被引量:6
8
作者 Ashish Kumar Jain Shubhendu Bhasin 《IEEE/CAA Journal of Automatica Sinica》 EI CSCD 2020年第2期420-425,共6页
A robust delay compensator has been developed for a class of uncertain nonlinear systems with an unknown constant input delay.The control law consists of feedback terms based on the integral of past control values and... A robust delay compensator has been developed for a class of uncertain nonlinear systems with an unknown constant input delay.The control law consists of feedback terms based on the integral of past control values and a novel filtered tracking error,capable of compensating for input delays.Suitable Lyapunov-Krasovskii functionals are used to prove global uniformly ultimately bounded(GUUB)tracking,provided certain sufficient gain conditions,dependent on the bound of the delay,are satisfied.Simulation results illustrate the performance and robustness of the controller for different values of input delay. 展开更多
关键词 Global uniformly ultimately bounded stability Lyapunov-Krasovskii functionals nonlinear systems tracking control unknown input delay
下载PDF
Unknown parameter’s variance-covariance propagation and calculation in generalized nonlinear least squares problem 被引量:6
9
作者 陶华学 郭金运 《Journal of Coal Science & Engineering(China)》 2005年第1期52-55,共4页
The unknown parameter’s variance-covariance propagation and calculation in the generalized nonlinear least squares remain to be studied now, which didn’t appear in the internal and external referencing documents. Th... The unknown parameter’s variance-covariance propagation and calculation in the generalized nonlinear least squares remain to be studied now, which didn’t appear in the internal and external referencing documents. The unknown parameter’s vari- ance-covariance propagation formula, considering the two-power terms, was concluded used to evaluate the accuracy of unknown parameter estimators in the generalized nonlinear least squares problem. It is a new variance-covariance formula and opens up a new way to evaluate the accuracy when processing data which have the multi-source, multi-dimensional, multi-type, multi-time-state, different accuracy and nonlinearity. 展开更多
关键词 generalized nonlinear least squares problem unknown parameter vari- ance-covariance propagation
下载PDF
Output-feedback Adaptive Control for a Class of Nonlinear Systems with Unknown Control Directions 被引量:9
10
作者 LIU Yun-Gang 《自动化学报》 EI CSCD 北大核心 2007年第12期1306-1312,共7页
在这份报纸,产量反馈适应稳定与未知控制方向为非线性的系统的一个班被调查。首先通过线性州的转变,未知控制系数在一起是 lumped,原来的系统被转变到控制设计为变得可行的一个新系统。在为状态和参数估计的一个观察员和一个评估者... 在这份报纸,产量反馈适应稳定与未知控制方向为非线性的系统的一个班被调查。首先通过线性州的转变,未知控制系数在一起是 lumped,原来的系统被转变到控制设计为变得可行的一个新系统。在为状态和参数估计的一个观察员和一个评估者的介绍以后,分别地,然后,一个建设性的设计过程为产量反馈被给使用综合者 backstepping 并且调节功能技术的适应稳定控制器。而所有另外的靠近环的系统状态被围住,设计的控制器保证状态集成到起源的原来的系统,这被显示出而所有另外的靠近环的系统状态被围住。模拟结果被说明显示出建议途径的有效性。 展开更多
关键词 自适应控制 输出反馈 非线性系统 未知控制指示 BACKSTEPPING
下载PDF
Adaptive Decentralized Asymptotic Tracking Control for Large-Scale Nonlinear Systems With Unknown Strong Interconnections 被引量:1
11
作者 Ben Niu Jidong Liu +2 位作者 Ding Wang Xudong Zhao Huanqing Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2022年第1期173-186,共14页
An adaptive decentralized asymptotic tracking control scheme is developed in this paper for a class of large-scale nonlinear systems with unknown strong interconnections,unknown time-varying parameters,and disturbance... An adaptive decentralized asymptotic tracking control scheme is developed in this paper for a class of large-scale nonlinear systems with unknown strong interconnections,unknown time-varying parameters,and disturbances.First,by employing the intrinsic properties of Gaussian functions for the interconnection terms for the first time,all extra signals in the framework of decentralized control are filtered out,thereby removing all additional assumptions imposed on the interconnec-tions,such as upper bounding functions and matching conditions.Second,by introducing two integral bounded functions,asymptotic tracking control is realized.Moreover,the nonlinear filters with the compensation terms are introduced to circumvent the issue of“explosion of complexity”.It is shown that all the closed-loop signals are bounded and the tracking errors converge to zero asymptotically.In the end,a simulation example is carried out to demonstrate the effectiveness of the proposed approach. 展开更多
关键词 Adaptive decentralized control asymptotic tracking control large-scale nonlinear systems unknown strong interconnections
下载PDF
A Control of Uncertain Nonlinear Systems with Unknown Control Direction Via Adaptive Backstepping
12
作者 郑兆顺 《Chinese Quarterly Journal of Mathematics》 CSCD 北大核心 2007年第2期276-281,共6页
The adaptive stabilization problem of nonlinear systems are studied. For a class of uncertain nonlinear systems with unknown control direction, we proposed a robust adaptive backstepping scheme withσ-modification by ... The adaptive stabilization problem of nonlinear systems are studied. For a class of uncertain nonlinear systems with unknown control direction, we proposed a robust adaptive backstepping scheme withσ-modification by introducing Nussbaum function and Backstep- ping methods, and proved that all the signals of the closed-loop systems are bounded. 展开更多
关键词 nonlinear system adaptive control BACKSTEPPING unknown control direction
下载PDF
基于RBFNN的智能车辆转向系统的预设性能控制
13
作者 黄艳玲 李红娟 《辽宁工程技术大学学报(自然科学版)》 CAS 北大核心 2024年第1期85-92,共8页
针对存在模型非线性和参数不确定性的智能车辆转向系统的预设性能跟踪控制问题,采用径向基函数神经网络对转向系统中的不确定非线性进行在线逼近,结合障碍Lyapunov函数技术为智能车辆的线控转向系统设计预设性能控制器。在控制器设计中... 针对存在模型非线性和参数不确定性的智能车辆转向系统的预设性能跟踪控制问题,采用径向基函数神经网络对转向系统中的不确定非线性进行在线逼近,结合障碍Lyapunov函数技术为智能车辆的线控转向系统设计预设性能控制器。在控制器设计中,采用动态增益技术补偿控制增益未知对系统控制性能的影响。利用Lyapunov方法分析系统的稳定性,证明在控制器作用下,前轮转角的跟踪误差在预设的时间内收敛至原点预设的邻域;通过数值仿真和整车实验验证了控制方法的合理性。 展开更多
关键词 转向系统 不确定非线性 未知控制增益 径向基函数神经网络 预设性能控制
下载PDF
具有未知增长率的一类上三角非线性多智能体系统的协同控制
14
作者 孙泽泽 李武全 《鲁东大学学报(自然科学版)》 2024年第3期253-260,共8页
基于有向领导者-追随者型的网络拓扑结构,研究了一类具有未知增长率的上三角非线性多智能体系统的协同控制问题。首先,通过引入坐标变换,将原系统转换为带有时间增益的等效系统;其次,针对标称系统进行控制器设计,获得原系统的分布式时... 基于有向领导者-追随者型的网络拓扑结构,研究了一类具有未知增长率的上三角非线性多智能体系统的协同控制问题。首先,通过引入坐标变换,将原系统转换为带有时间增益的等效系统;其次,针对标称系统进行控制器设计,获得原系统的分布式时变状态反馈控制器。所设计的控制器能够保证追随者与领导者的输出跟踪误差有界,且闭环系统所有信号有界。最后,利用仿真实例验证了控制方案的有效性。 展开更多
关键词 未知增长率 上三角非线性多智能体系统 协同控制 时变状态反馈
下载PDF
Finite-time stabilization of uncertain non-autonomous chaoticgyroscopes with nonlinear inputs 被引量:3
15
作者 M.P.AGHABABA H.P.AGHABABA 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2012年第2期155-164,共10页
Gyroscopes are one of the most interesting and everlasting nonlinear nonautonomous dynamical systems that exhibit very complex dynamical behavior such as chaos. In this paper, the problem of robust stabilization of th... Gyroscopes are one of the most interesting and everlasting nonlinear nonautonomous dynamical systems that exhibit very complex dynamical behavior such as chaos. In this paper, the problem of robust stabilization of the nonlinear non-autonomous gyroscopes in a given finite time is studied. It is assumed that the gyroscope system is perturbed by model uncertainties, external disturbances, and unknown parameters. Besides, the effects of input nonlinearities are taken into account. Appropriate adaptive laws are proposed to tackle the unknown parameters. Based on the adaptive laws and the finite-time control theory, discontinuous finite-time control laws are proposed to ensure the finite-time stability of the system. The finite-time stability and convergence of the closed-loop system are analytically proved. Some numerical simulations are presented to show the efficiency of the proposed finite-time control scheme and to validate the theoretical results. 展开更多
关键词 non-autonomous chaotic gyroscope finite-time control nonlinear input uncertainty unknown parameter
下载PDF
A gain-varying UIO approach with adaptive threshold for FDI of nonlinear F16 systems 被引量:2
16
作者 Jun XU Kai Yew LUM Ai Poh LOH 《控制理论与应用(英文版)》 EI 2010年第3期317-325,共9页
A discrete gain-varying unknown input observer (UIO) method is presented for actuator fault detection and isolation (FDI) problems in this paper. A novel residual scheme together with a moving horizon threshold is... A discrete gain-varying unknown input observer (UIO) method is presented for actuator fault detection and isolation (FDI) problems in this paper. A novel residual scheme together with a moving horizon threshold is proposed. This design methodology is applied to a nonlinear F16 system with polynomial aerodynamics coefficient expressions, where the coefficient expressions for the F16 system and UIOs may be slightly different. The simulation results illustrate that a satisfactory FDI performance can be achieved even when the F16 system is under the environment of model uncertainties, exogenous noise and measurement errors. 展开更多
关键词 Fault detection and isolation (FDI) unknown input observer (UIO) nonlinear estimation
下载PDF
Soft Sensor for Inputs and Parameters Using Nonlinear Singular State Observer in Chemical Processes 被引量:2
17
作者 许锋 汪晔晔 罗雄麟 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2013年第9期1038-1047,共10页
Chemical processes are usually nonlinear singular systems.In this study,a soft sensor using nonlinear singular state observer is established for unknown inputs and uncertain model parameters in chemical processes,whic... Chemical processes are usually nonlinear singular systems.In this study,a soft sensor using nonlinear singular state observer is established for unknown inputs and uncertain model parameters in chemical processes,which are augmented as state variables.Based on the observability of the singular system,this paper presents a simplified observability criterion under certain conditions for unknown inputs and uncertain model parameters.When the observability is satisfied,the unknown inputs and the uncertain model parameters are estimated online by the soft sensor using augmented nonlinear singular state observer.The riser reactor of fluid catalytic cracking unit is used as an example for analysis and simulation.With the catalyst circulation rate as the only unknown input without model error,one temperature sensor at the riser reactor outlet will ensure the correct estimation for the catalyst circulation rate.However,when uncertain model parameters also exist,additional temperature sensors must be used to ensure correct estimation for unknown inputs and uncertain model parameters of chemical processes. 展开更多
关键词 soft sensor state observer nonlinear singular system unknown inputs uncertain model parameters riser reactor of fluid catalytic cracking unit
下载PDF
Finite-Time Distributed Identification for Nonlinear Interconnected Systems 被引量:1
18
作者 Farzaneh Tatari Hamidreza Modares +1 位作者 Christos Panayiotou Marios Polycarpou 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2022年第7期1188-1199,共12页
In this paper,a novel finite-time distributed identification method is introduced for nonlinear interconnected systems.A distributed concurrent learning-based discontinuous gradient descent update law is presented to ... In this paper,a novel finite-time distributed identification method is introduced for nonlinear interconnected systems.A distributed concurrent learning-based discontinuous gradient descent update law is presented to learn uncertain interconnected subsystems’dynamics.The concurrent learning approach continually minimizes the identification error for a batch of previously recorded data collected from each subsystem as well as its neighboring subsystems.The state information of neighboring interconnected subsystems is acquired through direct communication.The overall update laws for all subsystems form coupled continuous-time gradient flow dynamics for which finite-time Lyapunov stability analysis is performed.As a byproduct of this Lyapunov analysis,easy-to-check rank conditions on data stored in the distributed memories of subsystems are obtained,under which finite-time stability of the distributed identifier is guaranteed.These rank conditions replace the restrictive persistence of excitation(PE)conditions which are hard and even impossible to achieve and verify for interconnected subsystems.Finally,simulation results verify the effectiveness of the presented distributed method in comparison with the other methods. 展开更多
关键词 Distributed concurrent learning finite-time identification nonlinear interconnected systems unknown dynamics
下载PDF
Skew t Distribution-Based Nonlinear Filter with Asymmetric Measurement Noise Using Variational Bayesian Inference 被引量:1
19
作者 Chen Xu Yawen Mao +2 位作者 Hongtian Chen Hongfeng Tao Fei Liu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2022年第4期349-364,共16页
This paper is focused on the state estimation problem for nonlinear systems with unknown statistics of measurement noise.Based on the cubature Kalman filter,we propose a new nonlinear filtering algorithm that employs ... This paper is focused on the state estimation problem for nonlinear systems with unknown statistics of measurement noise.Based on the cubature Kalman filter,we propose a new nonlinear filtering algorithm that employs a skew t distribution to characterize the asymmetry of the measurement noise.The system states and the statistics of skew t noise distribution,including the shape matrix,the scale matrix,and the degree of freedom(DOF)are estimated jointly by employing variational Bayesian(VB)inference.The proposed method is validated in a target tracking example.Results of the simulation indicate that the proposed nonlinear filter can perform satisfactorily in the presence of unknown statistics of measurement noise and outperform than the existing state-of-the-art nonlinear filters. 展开更多
关键词 nonlinear filter asymmetric measurement noise skew t distribution unknown noise statistics variational Bayesian inference
下载PDF
Semiglobal Stabilization via Output-feedback for a Class of Uncertain Nonlinear Systems 被引量:1
20
作者 LIU Meng-Liang LIU Yun-Gang 《自动化学报》 EI CSCD 北大核心 2013年第12期2154-2159,共6页
这份报纸为不明确的非线性的系统的一个班经由产量反馈认为 semiglobal 是稳定。与存在结果不同,在调查下面的系统拥有更严肃的非线性和实质地增加产量反馈的困难的未知控制系数控制器设计。联合 backstepping 方法和产量反馈支配途径... 这份报纸为不明确的非线性的系统的一个班经由产量反馈认为 semiglobal 是稳定。与存在结果不同,在调查下面的系统拥有更严肃的非线性和实质地增加产量反馈的困难的未知控制系数控制器设计。联合 backstepping 方法和产量反馈支配途径,稳定控制器的 semiglobal 明确地被给,它能保证靠近环的系统在设计参数的适当选择下面完成 semiglobal asymptotic 稳定性。一个模拟例子验证理论结果和建议途径。 展开更多
关键词 不确定非线性系统 输出反馈控制器 半全局镇定 全局渐近稳定性 全局稳定 控制系数 参数选用 闭环系统
下载PDF
上一页 1 2 11 下一页 到第
使用帮助 返回顶部