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Robust model predictive control with randomly occurred networked packet loss in industrial cyber physical systems 被引量:8
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作者 CAI Hong-bin LI Ping +1 位作者 SU Cheng-li CAO Jiang-tao 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第7期1921-1933,共13页
For a class of linear discrete-time systems that is subject to randomly occurred networked packet loss in industrial cyber physical systems, a novel robust model predictive control method with active compensation mech... For a class of linear discrete-time systems that is subject to randomly occurred networked packet loss in industrial cyber physical systems, a novel robust model predictive control method with active compensation mechanism was proposed. The probability distribution of packet loss is described as the Bernoulli distributed white sequences. By using the Lyapunov stability theory, the existing sufficient conditions of the controller are derived from solving a group of linear matrix inequalities. Moreover, dropout-rate with uncertainty and unknown dropout-rate are also considered, which can greatly reduce the conservativeness of the controller. The designed robust model predictive control method not only efficiently eliminates the negative effects of the networked data loss in industrial cyber physical systems but also ensures the stability of closed-loop system. Two examples were provided to illustrate the superiority and effectiveness of the proposed method. 展开更多
关键词 robust model predictive control networked control system packet loss linear matrix inequalities (LMIs)
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Optimal dispatching method for integrated energy system based on robust economic model predictive control considering source-load power interval prediction 被引量:3
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作者 Yang Yu Jiali Li Dongyang Chen 《Global Energy Interconnection》 EI CAS CSCD 2022年第5期564-578,共15页
Effective source-load prediction and reasonable dispatching are crucial to realize the economic and reliable operations of integrated energy systems(IESs).They can overcome the challenges introduced by the uncertainti... Effective source-load prediction and reasonable dispatching are crucial to realize the economic and reliable operations of integrated energy systems(IESs).They can overcome the challenges introduced by the uncertainties of new energies and various types of loads in the IES.Accordingly,a robust optimal dispatching method for the IES based on a robust economic model predictive control(REMPC)strategy considering source-load power interval prediction is proposed.First,an operation model of the IES is established,and an interval prediction model based on the bidirectional long short-term memory network optimized by beetle antenna search and bootstrap is formulated and applied to predict the photovoltaic power and the cooling,heating,and electrical loads.Then,an optimal dispatching scheme based on REMPC is devised for the IES.The source-load interval prediction results are used to improve the robustness of the REPMC and reduce the influence of source-load uncertainties on dispatching.An actual IES case is selected to conduct simulations;the results show that compared with other prediction techniques,the proposed method has higher prediction interval coverage probability and prediction interval normalized averaged width.Moreover,the operational cost of the IES is decreased by the REMPC strategy.With the devised dispatching scheme,the ability of the IES to handle the dispatching risk caused by prediction errors is enhanced.Improved dispatching robustness and operational economy are also achieved. 展开更多
关键词 Integrated energy system Source-load uncertainty Interval prediction robust economic model predictive control Optimal dispatching.
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An Improved Robust Model Predictive Control Approach to Systems with Linear Fractional Transformation Perturbations 被引量:2
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作者 Peng-Yuan Zheng Yu-Geng Xi De-Wei Li 《International Journal of Automation and computing》 EI 2011年第1期134-140,共7页
In this paper, a robust model predictive control approach is proposed for a class of uncertain systems with time-varying, linear fractional transformation perturbations. By adopting a sequence of feedback control laws... In this paper, a robust model predictive control approach is proposed for a class of uncertain systems with time-varying, linear fractional transformation perturbations. By adopting a sequence of feedback control laws instead of a single one, the control performance can be improved and the region of attraction can be enlarged compared with the existing model predictive control (MPC) approaches. Moreover, a synthesis approach of MPC is developed to achieve high performance with lower on-line computational burden. The effectiveness of the proposed approach is verified by simulation examples. 展开更多
关键词 robust model predictive control linear fractional transformation (LFT) perturbations linear matrix inequalities (LMIs) feedback model predictive control (MPC) framework sequence of feedback control laws.
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Control method on serial type pump-valve coordinated electro-hydraulic servo system 被引量:1
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作者 谢文 汪首坤 +1 位作者 王军政 吴建 《Journal of Beijing Institute of Technology》 EI CAS 2016年第1期100-107,共8页
In order to compromise the conflicts between control accuracy and system efficiency of conventional electro-hydraulic servo systems,a novel pump-valve coordinated electro-hydraulic servo system was designed and a corr... In order to compromise the conflicts between control accuracy and system efficiency of conventional electro-hydraulic servo systems,a novel pump-valve coordinated electro-hydraulic servo system was designed and a corresponding control strategy was proposed.The system was constituted of a pumpcontrolled part and a valve-controlled part,the pump controlled part is used to adjust the flow rate of oil source and the valve controlled part is used to complete the position tracking control of the hydraulic cylinder.Based on the system characteristics,a load flow grey prediction method was adopted in the pump controlled part to reduce the system overflow losses,and an adaptive robust control method was adopted in the valve controlled part to eliminate the effect of system nonlinearity and parametric uncertainties due to variable hydraulic parameters and system loads on the control precision.The experimental results validated that the adopted control strategy increased the system efficiency obviously with guaranteed high control accuracy. 展开更多
关键词 pump-valve coordinated grey prediction adaptive robust control efficiency
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Robust Cooperative Control of Multiple Autonomous Vehicles for Platoon Formation Considering Parameter Uncertainties 被引量:5
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作者 Weichao Zhuang Liwei Xu Guodong Yin 《Automotive Innovation》 EI CSCD 2020年第1期88-100,共13页
This paper proposes a robust cooperative control strategy for multiple autonomous vehicles to achieve safe and efficient platoon formation,and it analyzes the effects of vehicle stability boundaries and parameter unce... This paper proposes a robust cooperative control strategy for multiple autonomous vehicles to achieve safe and efficient platoon formation,and it analyzes the effects of vehicle stability boundaries and parameter uncertainties.The cooperative vehicle control framework is composed of the upper planning level and lower tracking control level.In the planning level,the trajectory of each vehicle is generated by using the multi-objective flocking algorithm to form the platoon.The parameters of the flocking algorithm are optimized to prevent the vehicle speed and yaw rate from going beyond their limits.In the lower level,to realize the stable platoon formation,a lumped disturbance observer is designed to gain the stable-state reference,and a distributed robust model predictive controller is proposed to achieve the offset-free trajectory tracking while downsizing the effects of parameter uncertainties.The simulation results show the proposed cooperative control strategy can achieve safe and efficient platoon formation. 展开更多
关键词 Platoon formation robust model predictive controller Multiple autonomous vehicles Parameter uncertainty
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Robust model predictive control for greenhouse temperature based on particle swarm optimization 被引量:6
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作者 Lijun Chen Shangfeng Du +2 位作者 Yaofeng He Meihui Liang Dan Xu 《Information Processing in Agriculture》 EI 2018年第3期329-338,共10页
Application of model predictive control(MPC)in horticultural practice requires detailed models.However,even highly sophisticated greenhouse climate models are often known to have unknown dynamics affected by bounded u... Application of model predictive control(MPC)in horticultural practice requires detailed models.However,even highly sophisticated greenhouse climate models are often known to have unknown dynamics affected by bounded uncertainties.To enforce robustness during the controller design stage,this paper proposes a particle swarm optimization(PSO)-based robust MPC strategy for greenhouse temperature systems.The strategy is based on a nonlinear physical temperature affine model.The robust MPC technique requires online solution of a minimax optimal control problem,which optimizes the tradeoff between set point tracking and cost requirements reduction.The minimax optimization problem is reformulated to a nonlinear programming problem with constraints.PSO is used to solve the reformulated problem and priority ranking of constraint fitness is proposed to guarantee that the constraints are satisfied.The results of simulations performed using the proposed control system show that the controller can effectively achieve the set point in the presence of disturbances and that it offers more suitable control variables,higher control precision,and stronger robustness than the conventional MPC. 展开更多
关键词 Greenhouse temperature robust model predictive control Particle swarm optimization Affine non-linear systems
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A Nash Game Approach to Mixed H_2/H_∞ Model Predictive Control: Part 3–Output Feedback Case
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作者 Pakkiriswamy Aadaleesan Prabirkumar Saha 《International Journal of Automation and computing》 EI CSCD 2018年第5期616-624,共9页
In this paper, the state-feedback Nash game based mixed H2/H∞ design^([1, 2])has been extended for output feedback case. The algorithm is applied to control bioreactor system with a Laguerre-Wavelet Network(LWN)^... In this paper, the state-feedback Nash game based mixed H2/H∞ design^([1, 2])has been extended for output feedback case. The algorithm is applied to control bioreactor system with a Laguerre-Wavelet Network(LWN)^([3, 4])model of the bioreactor.This is achieved by using the LWN model as a deviation model and by successively linearising the deviation model along the state trajectory. For reducing the approximation error and to improve the controller performance, symbolic derivation algorithm, viz.,automatic differentiation is employed. A cautionary note is also given on the fragility of the output feedback mixed H2/H∞ model predictive controller^([4, 5])due to its sensitivity to its own parametric changes. 展开更多
关键词 robust model predictive control mixed H2/H∞ control Nash game output feedback model predictive control (MPC) automatic differentiation fragility of controller.
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