共查询到18条相似文献,搜索用时 290 毫秒
1.
2.
针对一类不确定非线性时滞系统,基于变结构控制原理,利用多层神经网络逼近的能力,提出具有投影算法的间接自适应控制方案。该方案通过监督控制器保证闭环系统所有信号有界,并引入综合误差的自适应补偿项来消除建模误差的影响。理论分析证明跟踪误差收敛到零,仿真结果表明该方法有的效性。 相似文献
3.
4.
基于模糊树模型的自适应模糊滑模控制方法 总被引:1,自引:1,他引:0
本文针对单输入–单输出仿射非线性系统提出了一种基于模糊树模型的具有监督控制器的模糊滑模控制方法. 该方法用模糊树模型逼近非线性系统中的未知非线性函数, 得到初始的控制器, 然后在线调节模糊树模型中的线性参数, 改善控制器的性能, 实现对有界参考输入信号的跟踪控制. 模糊树辨识方法自适应划分输入空间, 大大减少模糊规则的数目, 在一定程度上可以缓解困扰模糊控制中的”规则爆炸”问题. 该方法通过监督控制器保证闭环系统所有信号有界. 通过理论分析, 证明了跟踪误差收敛到零. 用倒立摆进行仿真验证, 结果表明该方法用较少的模糊规则, 就能得到满意的控制效果, 有推广应用价值. 相似文献
5.
6.
提出一种针对机器人跟踪控制的神经网络自适应滑模控制策略。该控制方案将神经网络的非线性映射能力与滑模变结构和自适应控制相结合。对于机器人中不确定项,通过RBF网络分别进行自适应补偿,并通过滑模变结构控制器和自适应控制器消除逼近误差。同时基于Lyapunov理论保证机器手轨迹跟踪误差渐进收敛于零。仿真结果表明了该方法的优越性和有效性。 相似文献
7.
8.
9.
一类具有未知死区MIMO系统的自适应模糊控制 总被引:6,自引:0,他引:6
针对一类具有未知死区并具有下三角函数控制增益矩阵的不确定MIMO非线性系统, 根据滑模控制原理, 并利用Nussbaum函数的性质, 提出了一种自适应模糊控制器的设计方案. 该方案取消了函数控制增益符号已知和死区模型参数上界、下界已知的条件. 通过引入积分型李亚普诺夫函数及最优逼近误差与死区扰动上界的自适应补偿项,证明了闭环系统是稳定的,跟踪误差收敛到零. 仿真结果表明了该方法的有效性. 相似文献
10.
一类MIMO非线性时滞系统的鲁棒自适应控制 总被引:1,自引:0,他引:1
针对一类具有非线性输入的MIMO时变时滞系统,基于变结构控制原理,提出了一种稳定自适应控制器设计的新方案.该方案通过使用Lyapunov-Krasovskii(L-K)泛函抵消了因未知时变时滞带来的系统不确定性;进一步,利用Young's不等式和参数自适应估计取消了非线性死区输入模犁和不确定项假设中各种参数均为已知的要求.通过理论分析,证明了闭环控制系统半全局一致终结有界,跟踪误差收敛到零的一个邻域内. 相似文献
11.
Hai-Bo Jiang 《国际自动化与计算杂志》2010,7(4):484-491
The problem of indirect adaptive fuzzy and impulsive control for a class of nonlinear systems is investigated. Based on the approximation capability of fuzzy systems, a novel adaptive fuzzy and impulsive control strategy with supervisory controller is developed. With the help of a supervisory controller, global stability of the resulting closed-loop system is established in the sense that all signals involved are uniformly bounded. Furthermore, the adaptive compensation term of the upper bound function of the sum of residual and approximation error is adopted to reduce the effects of modeling error. By the generalized Barbalat's lemma, the tracking error between the output of the system and the reference signal is proved to be convergent to zero asymptotically. Simulation results illustrate the effectiveness of the proposed approach. 相似文献
12.
13.
研究一类不确定非线性系统的间适应模糊控制问题。基于Wang提出的监督控制方案,利用Ⅰ型模糊系统的逼近能力,提出一种自适应模糊控制器设计的新方案,该方案通过引入最优逼近误差的自适应补偿项来消除建模误差的影响,从而在稳定性分析中取消了要求逼近误差平方可积或逼近误差的上确界已知的条件,理论分析证明了闭环控制系统是全局稳定的,跟踪误差收敛到零,仿真结果表明了该方法的有效性。 相似文献
14.
Ching-Hung Lee Bo-Hang Wang 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》2009,13(1):1-12
This paper proposes a wavelet-based cerebellar model arithmetic controller neural network (called WCMAC) and develops an adaptive
supervisory WCMAC control (SWC) scheme for nonlinear uncertain systems. The WCMAC is modified from the traditional CMAC for
obtaining high approximation accuracy and convergent rate using the advantages of wavelet functions and fuzzy TSK-model. For
nonlinear uncertain systems, a PD-type WCMAC controller with filter is constructed to approximate an ideal control signal.
The corresponding adaptive supervisory controller is used to recover the residual of approximation error. Finally, the adaptive
SWC scheme is applied to chaotic system identification and control including Mackey–Glass time-series prediction, control
of inverted pendulum system, and control of Chua circuit system. These demonstrate the effectiveness of our adaptive SWC approach
for nonlinear uncertain systems. 相似文献
15.
非线性系统的间接自适应模糊输出反馈监督控制 总被引:1,自引:0,他引:1
In this paper, an indirect adaptive fuzzy output feedback controller with supervisory mode for a class of unknown nonlinear systems is developed. The proposed approach does not need the availability of the state variables, moreover, a supervisory controller is appended to the adaptive fuzzy controller to force the state to be within the constraint set. Therefore, if the adaptive fuzzy controller cannot maintain the stability, the supervisory controller starts to work to guarantee stability. On the other hand, if the adaptive fuzzy controller works well, the supervisory controller will be deactivated. The overall adaptive fuzzy control scheme guarantees the stability of the whole closed-loop systems. The simulation results confirm the effectiveness of the proposed method. 相似文献
16.
TONG Shao-Cheng CHAI Tian-You 《自动化学报》2005,(2)
In this paper, an indirect adaptive fuzzy output feedback controller with supervisory mode for a class of unknown nonlinear systems is developed. The proposed approach does not need the availability of the state variables, moreover, a supervisory controller is appended to the adaptive fuzzy controller to force the state to be within the constraint set. Therefore, if the adaptive fuzzy controller cannot maintain the stability, the supervisory controller starts to work to guarantee stability. On the other hand, if the adaptive fuzzy controller works well, the supervisory controller will be de-activated. The overall adaptive fuzzy control scheme guarantees the stability of the whole closed-loop systems. The simulation results confirm the effectiveness of the proposed method. 相似文献
17.
研究了具有不确定项的非线性Willis环上脑动脉瘤系统的混沌控制和同步问题,提出了一种自适应模糊滑模变结构控制方法,设计了模糊滑模变结构控制器及自适应控制律,并从理论上证明了控制系统的稳定性。在该控制器的作用下,受控Willis脑动脉瘤系统能够达到任意目标轨道,且不受不确定性的影响,具有很强的鲁棒性。定值跟踪和同步控制的仿真结果表明了控制器的有效性。 相似文献
18.
H. Han S. Murakami 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》2003,7(4):252-257
The goal of this paper is to design a controller for a class of nonlinear systems with delay time using fuzzy logic. The
control scheme considered in this paper integrates a fuzzy component and a sliding control component. In the former, the fuzzy
system can be considered as a universal approximator to approximate the unknown functions in plant. In the latter, a variable
structure control with a sector guarantees the global stability of the closed-loop system when a variable, involving tracking
error, travels outside of the sector. The adaptive laws to adjust the parameters in the system are developed based on the
Lyapunov synthesis approach. It is shown that the proposed adaptive controller guarantees tracking error, between the outputs
of the considered system and desired␣values, to be asymptotical in decay. 相似文献