共查询到16条相似文献,搜索用时 203 毫秒
1.
分散自适应模糊滑模型控制器的设计与分析 总被引:1,自引:0,他引:1
研究了一类具有函数控制增益的耦合大系统的分散自适应模糊控制问题,提出了能够利用专家的语言信息和数字信息的分散自适应模糊滑模控制器的设计方案,通过理论分析,证明了分散自适应模糊控制系统是全局稳定的,跟踪误差可收敛到零的一个领域内。 相似文献
2.
一类大系统的分散自适应模糊滑模控制 总被引:8,自引:2,他引:8
研究了一类具有未知函数控制增益的非线性大系统的分散模糊控制问题.基于滑模
控制原理和模糊集理论,提出了一种分散自适应模糊控制器的设计方法.通过理论分析,证明
了分散自适应模糊控制系统是全局稳定的,跟踪误差可收敛到零的一个领域内. 相似文献
3.
基于模糊逻辑的分散自适应变结构控制 总被引:3,自引:0,他引:3
研究了一类具有未知常数控制增益的耦合大系统的分散自适应模糊控制问题,提出了能够利用专家的语言信息和数字信息的适应模糊变结构控制器的设计方案。通过理论分析,证明了分散自适应模糊控制系统是全局稳定的,跟踪误差可收敛到零的一个邻域内。 相似文献
4.
非线性大系统的分散自适应模糊控制* 总被引:4,自引:1,他引:3
本文针对非线性大系统,利用模糊系统的逼近能力,提出了一种分散自适应模糊控制器设计的系统方法。控制结构中采用分散模糊系统去自适应补偿过程不确定性,同时用模糊控制器的输出代替常规变结构控制律中的符号函数。利用李亚普诺夫理论,证明了控制算法是全局稳定的,跟踪误差可收敛到零的一个领域内。 相似文献
5.
6.
7.
8.
9.
10.
本文针对一类SISO不确定非线性大系统,提出了一种混杂间接和直接自适应分散模糊H∞控制器.通过组合模糊系统和H∞跟踪技术开发的分散自适应模糊控制算法避免了控制设计中含有的符号函数.两种自适应模糊控制器的组合消除了它们各自均不能够同时融合被控对象知识与控制知识的局限.闭环大系统被证明是稳定的,且具有H∞跟踪性能.该算法应用于自动化公路系统中车辆的纵向跟随控制,仿真结果表明混杂自适应模糊H∞控制系统的跟踪性能更好而相应的控制幅值却更小. 相似文献
11.
本文针对一类未知非线性大系统,提出了一种直接自适应模糊分散控制策略.设计中
,首先在假设各子系统的动态已知的条件下,设计最优分散控制,然后用模糊自适应系统逼
近最优分散控制.同时引入模糊滑模控制消除各个子系统之间的相互作用,外部干扰和模糊
系统的逼近误差.并对所设计的控制系统进行了稳定性分析. 相似文献
12.
Yi‐Shao Huang 《国际强度与非线性控制杂志
》2012,22(15):1720-1742
》2012,22(15):1720-1742
In this paper, a novel decentralized robust adaptive fuzzy control scheme is proposed for a class of large‐scale multiple‐input multiple‐output uncertain nonlinear systems. By virtue of fuzzy logic systems and the regularized inverse matrix, the decentralized robust indirect adaptive fuzzy controller is developed such that the controller singularity problem is addressed under a united design framework; no a priori knowledge of the bounds on lumped uncertainties are being required. The closed‐loop large‐scale system is proved to be asymptotically stable. Simulation results confirmed the validity of the approach presented. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
13.
In this paper, an adaptive fuzzy decentralized backstepping output feedback control approach is proposed for a class of uncertain large‐scale stochastic nonlinear systems without the measurements of the states. The fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy state observer is designed for estimating the unmeasured states. Using the designed fuzzy state observer, and by combining the adaptive backstepping technique with dynamic surface control technique, an adaptive fuzzy decentralized output feedback control approach is developed. It is shown that the proposed control approach can guarantee that all the signals of the resulting closed‐loop system are semi‐globally uniformly ultimately bounded in probability, and the observer errors and the output of the system converge to a small neighborhood of the origin by choosing appropriate design parameters. A simulation example is provided to show the effectiveness of the proposed approaches. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
14.
An adaptive fuzzy decentralized backstepping output-feedback control approach is proposed for a class of nonlinear large-scale systems with completely unknown functions,the interconnections mismatched in control inputs,and without the measurements of the states.Fuzzy logic systems are employed to approximate the unknown nonlinear functions,and an adaptive high-gain observer is developed to estimate the unmeasured states.Using the designed high-gain observer,and combining the fuzzy adaptive control theory with backstepping approach,an adaptive fuzzy decentralized backstepping output-feedback control scheme is developed.It is proved that the proposed control approach can guarantee that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded(SUUB),and that the observer errors and the tracking errors converge to a small neighborhood of the origin by appropriate choice of the design parameters.Finally,a simulation example is provided to show the eectiveness of the proposed approach. 相似文献
15.
A stable decentralized adaptive fuzzy sliding mode control scheme is proposed for reconfigurable modular manipulators to satisfy the concept of modular software. For the development of the decentralized control, the dynamics of reconfigurable modular manipulators is represented as a set of interconnected subsystems. A first‐order Takagi–Sugeno fuzzy logic system is introduced to approximate the unknown dynamics of subsystem by using adaptive algorithm. The effect of interconnection term and fuzzy approximation error is removed by employing an adaptive sliding mode controller. All adaptive algorithms in the subsystem controller are derived from the sense of Lyapunov stability analysis, so that resulting closed‐loop system is stable and the trajectory tracking performance is guaranteed. The simulation results are presented to show the effectiveness of the proposed decentralized control scheme. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献
16.
In this paper, an adaptive fuzzy decentralized output feedback control approach is presented for a class of uncertain nonlinear pure‐feedback large‐scale systems with immeasurable states. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions, and a fuzzy state observer is designed to estimate the immeasurable states. On the basis of the adaptive backstepping recursive design technique, an adaptive fuzzy decentralized output feedback is developed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed‐loop system are semiglobally uniformly ultimately bounded (SUUB), and that the observer and tracking errors converge to a small neighborhood of the origin by appropriate choice of the design parameters. Simulation studies are included to illustrate the effectiveness of the proposed approach. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献