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Adaptive finite-time consensus tracking control for nonlinear multiagent systems in nonstrict feedback form with full-state constraints
International Journal of Adaptive Control and Signal Processing ( IF 3.9 ) Pub Date : 2021-04-01 , DOI: 10.1002/acs.3250
Dan Liu 1 , Lin Zhao 1
Affiliation  

In this article, the fuzzy adaptive finite-time consensus tracking control problem for nonstrict feedback nonlinear multiagent systems with full-state constraints is studied. The finite-time control based on command filtered backstepping is proposed to guarantee the finite-time convergence and eliminate the explosion of complexity problem caused by backstepping process, and the errors in the filtering process are compensated by using error compensation mechanism. Furthermore, based on the fuzzy logic systems, the uncertain nonlinear dynamics are approximated and the problem of state variables in nonstrict feedback form is solved by using the property of basis functions. The barrier Lyapunov functions are introduced to guarantee that all system states and compensated tracking error signals are constrained in the designed regions. A simulation example is given to verify the superiority of the proposed algorithm.

中文翻译:

具有全状态约束的非严格反馈形式的非线性多智能体系统的自适应有限时间一致性跟踪控制

本文研究了具有全状态约束的非严格反馈非线性多智能体系统的模糊自适应有限时间一致性跟踪控制问题。提出了基于命令滤波反步法的有限时间控制,以保证有限时间收敛,消除反步法引起的复杂性问题的爆炸性问题,并利用误差补偿机制补偿滤波过程中的误差。进而,在模糊逻辑系统的基础上,利用基函数的性质,对不确定的非线性动力学进行逼近,求解非严格反馈形式的状态变量问题。引入势垒李雅普诺夫函数以保证所有系统状态和补偿跟踪误差信号都被约束在设计区域内。
更新日期:2021-04-01
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