Huang Yi-Shao, Liu Wel-Ping, Wu Min, Wang Zheng-Wu
School of Information Science and Engineering, Central South University, Changsha 410083, PR China; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, PR China.
Department of Economics and Management, Shaoyang University, Shaoyang 422000, PR China.
ISA Trans. 2014 Sep;53(5):1569-81. doi: 10.1016/j.isatra.2013.12.003. Epub 2014 Jun 27.
This paper presents a novel observer-based decentralized hybrid adaptive fuzzy control scheme for a class of large-scale continuous-time multiple-input multiple-output (MIMO) uncertain nonlinear systems whose state variables are unmeasurable. The scheme integrates fuzzy logic systems, state observers, and strictly positive real conditions to deal with three issues in the control of a large-scale MIMO uncertain nonlinear system: algorithm design, controller singularity, and transient response. Then, the design of the hybrid adaptive fuzzy controller is extended to address a general large-scale uncertain nonlinear system. It is shown that the resultant closed-loop large-scale system keeps asymptotically stable and the tracking error converges to zero. The better characteristics of our scheme are demonstrated by simulations.
本文针对一类状态变量不可测的大规模连续时间多输入多输出（MIMO）不确定非线性系统，提出了一种基于观测器的新型分散混合自适应模糊控制方案。该方案将模糊逻辑系统、状态观测器和严格正实条件相结合，以处理大规模MIMO不确定非线性系统控制中的三个问题：算法设计、控制器奇异性和瞬态响应。然后，将混合自适应模糊控制器的设计扩展到一般的大规模不确定非线性系统。结果表明，所得的闭环大规模系统保持渐近稳定，跟踪误差收敛到零。仿真结果验证了该方案具有更好的性能。
