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Practical Stabilization for Uncertain Pseudo-Linear and Pseudo-Quadratic MIMO Systems
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作者 Laura Celentano 《International Journal of Modern Nonlinear Theory and Application》 2013年第1期34-42,共9页
In this paper the problem of practical stabilization for a significant class of MIMO uncertain pseudo-linear and pseudo-quadratic systems, with additional bounded nonlinearities and/or bounded disturbances, is conside... In this paper the problem of practical stabilization for a significant class of MIMO uncertain pseudo-linear and pseudo-quadratic systems, with additional bounded nonlinearities and/or bounded disturbances, is considered. By using the concept of majorant system, via Lyapunov approach, new fundamental theorems, from which derive explicit formulas to design state feedback control laws, with a possible imperfect compensation of nonlinearities and disturbances, are stated. These results guarantee a specified convergence velocity of the linearized system of the majorant system and a desired steady-state output for generic uncertainties and/or generic bounded nonlinearities and/or bounded disturbances. 展开更多
关键词 PRACTICAL STABILIZATION LINEAR and Nonlinear uncertain systems Pseudo-Quadratic mimo uncertain system Lyapunov Approach
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Adaptive Sliding Mode Control for MIMO Nonlinear Systems Based on Fuzzy Logic Scheme 被引量:2
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作者 Alan FT Winfield Chris Melhuish 《International Journal of Automation and computing》 EI 2004年第1期51-62,共12页
In this study an indirect adaptive sliding mode control (SMC) based on a fuzzy logic scheme is proposed to strengthen the tracking control performance of a general class of multi-input multi-output (MIMO) nonlinear un... In this study an indirect adaptive sliding mode control (SMC) based on a fuzzy logic scheme is proposed to strengthen the tracking control performance of a general class of multi-input multi-output (MIMO) nonlinear uncertain systems. Combining reaching law approach and fuzzy universal approximation theorem, the proposed design procedure combines the advantages of fuzzy logic control, adaptive control and sliding mode control. The stability of the control systems is proved in the sense of the Lyapunov second stability theorem. Two simulation studies are presented to demonstrate the effectiveness of our new hybrid control algorithm. 展开更多
关键词 Fuzzy logic control (FLC) sliding mode control (SMC) MULTI input multi output (mimo) nonlinear uncertain systems adaptive control variable structure system (VSS)
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Sliding Mode Control, with Integrator, for a Class of Mimo Nonlinear Systems
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作者 Anouar Benamor Larbi Chrifi-alaui +1 位作者 Hassani Messaoud Mohamed Chaabane 《Engineering(科研)》 2011年第5期435-444,共10页
In this paper, the robust control problem of general nonlinear multi-input multi-output (MIMO) systems is proposed. The robustness against unknown disturbances is considered. Two algorithms based on the Sliding Mode C... In this paper, the robust control problem of general nonlinear multi-input multi-output (MIMO) systems is proposed. The robustness against unknown disturbances is considered. Two algorithms based on the Sliding Mode Control (SMC) for nonlinear coupled multi-input multi-output (MIMO) systems are proposed: the first order sliding mode control (FOSMC) with saturation (sat) function and the FOSMC with sat combined with integrator controller. Those algorithms were simulated and implemented on the three tanks test-bed system and the exprimental results confirm the effectiveness of our control design. 展开更多
关键词 SLIDING Mode CONTROL INTEGRATOR Nonlinear systems Coupled mimo uncertain LIQUID Level CONTROL
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CMAC神经网络用于一类不确定MIMO非线性系统的鲁棒自适应反馈线性化 被引量:2
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作者 杨旭 张友安 +1 位作者 崔平远 邹经湘 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2001年第1期20-23,共4页
在已知标称系统的基础上 ,将CMAC神经网络用于一类状态反馈可线性化的多输入多输出 (MI MO)不确定连续时间非线性系统的鲁棒自适应反馈线性化 ,使系统获得要求的跟踪性能 .在很弱的假设条件下 ,应用李雅普诺夫稳定性理论证明了闭环系统... 在已知标称系统的基础上 ,将CMAC神经网络用于一类状态反馈可线性化的多输入多输出 (MI MO)不确定连续时间非线性系统的鲁棒自适应反馈线性化 ,使系统获得要求的跟踪性能 .在很弱的假设条件下 ,应用李雅普诺夫稳定性理论证明了闭环系统内的所有信号为UUB(一致最终有界 ) .仿真算例进一步验证了算法的正确与有效 . 展开更多
关键词 mimo不确定非线性系统 CMAC神经网络 鲁棒自适应控制 反馈线性化
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不确定MIMO线性系统的全局快速终端滑模控制 被引量:6
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作者 徐世许 马建敏 《信息与控制》 CSCD 北大核心 2011年第5期633-638,共6页
针对一类不确定多输入多输出(MIMO)线性系统,提出一种全局快速终端滑模变结构控制方案.通过对系统进行特殊的非奇异状态变换,设计了相应的非线性终端滑模超曲面及变结构控制律,使得系统状态在有限时间内收敛到终端滑模面上,随后保持在... 针对一类不确定多输入多输出(MIMO)线性系统,提出一种全局快速终端滑模变结构控制方案.通过对系统进行特殊的非奇异状态变换,设计了相应的非线性终端滑模超曲面及变结构控制律,使得系统状态在有限时间内收敛到终端滑模面上,随后保持在滑模面上并按全局快速终端滑模规律运动,以较普通终端滑模更快的收敛速度在有限时间内到达平衡点.仿真结果证明了该方法的有效性. 展开更多
关键词 不确定mimo线性系统 非奇异状态变换 全局快速终端滑模 有限时间收敛
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一类非线性系统的自组织模糊神经网络控制 被引量:5
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作者 李安平 刘国荣 《电机与控制学报》 EI CSCD 北大核心 2016年第12期82-91,共10页
针对一类MIMO不确定非线性有干扰且控制增益符号未知的系统进行跟踪控制的问题,提出了一种在线自组织模糊神经网络的改进算法,用以克服参数选择困难的问题,并基于该算法给出了一种自适应鲁棒控制方法。首先基于主导输入的概念将MIMO系... 针对一类MIMO不确定非线性有干扰且控制增益符号未知的系统进行跟踪控制的问题,提出了一种在线自组织模糊神经网络的改进算法,用以克服参数选择困难的问题,并基于该算法给出了一种自适应鲁棒控制方法。首先基于主导输入的概念将MIMO系统分解为多个SISO系统构成的系统,然后结合自组织模糊神经网络在线对系统中的未知函数进行逼近,对网络结构和参数实现在线调节,再利用Nussbaum函数来克服控制增益符号未知,并且引入鲁棒项及复合误差的估计来补偿复合误差。最后基于Lyapunov稳定性理论证明了整个闭环系统半全局一致最终有界。理论和仿真结果表明提出方法的有效性。 展开更多
关键词 不确定mimo系统 控制增益符号未知 自组织模糊神经网络 鲁棒控制
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