Cheng Hong, Song Yongduan
IEEE Trans Cybern. 2024 Dec;54(12):7793-7803. doi: 10.1109/TCYB.2024.3414187. Epub 2024 Nov 27.
This article presents a global performance guaranteed tracking control method for a class of general strict-feedback multi-input and multi-output (MIMO) nonlinear systems with unknown nonlinearities and unknown time-varying input delays. By introducing a novel error transformation embedded with the Lyapunov-Krasovskii functional (LKF), the developed control scheme exhibits several appealing features: 1) it is able to achieve global prescribed performance tracking for uncertain MIMO systems with delayed inputs, while at the same time eliminating the constraint conditions imposing on initial values between the tracking/virtual error and the performance function; 2) there is no need for any a priori knowledge regarding the nonlinearities of the system nor a prior knowledge of time derivatives of the desired trajectory, making the resultant controller simpler in structure and less expensive in computation; 3) the control scheme includes a new differentiable time-varying feedback term, which gracefully compensates the unknown input delays and unknown control gain coefficient matrices; and 4) the controllability condition is relaxed, which enlarges the applicability of the proposed strategy. Finally, a two-link robotic manipulator example is provided to demonstrate the reliability of the theoretical results.
本文提出了一种针对一类具有未知非线性和未知时变输入延迟的一般严格反馈多输入多输出(MIMO)非线性系统的全局性能保证跟踪控制方法。通过引入一种嵌入李雅普诺夫 - 克拉索夫斯基泛函(LKF)的新型误差变换,所开发的控制方案具有几个吸引人的特点:1)它能够实现具有延迟输入的不确定MIMO系统的全局规定性能跟踪,同时消除了跟踪/虚拟误差与性能函数之间对初始值施加的约束条件;2)无需关于系统非线性的任何先验知识,也无需期望轨迹的时间导数的先验知识,使得所得控制器结构更简单且计算成本更低;3)控制方案包括一个新的可微时变反馈项,它能很好地补偿未知输入延迟和未知控制增益系数矩阵;4)可控性条件得到放宽,这扩大了所提出策略的适用性。最后,给出了一个两连杆机器人操纵器的例子来证明理论结果的可靠性。