Adaptive Control for A Class of SISO Nonlinear Time-Varying Delay Systems with Unknown Gain Signs
A design scheme of adaptive neural controller for a class of uncertain SISO nonlinear time-varying delay systems with unknown nonlinear dead-zones and unknown function control gain is proposed. The design is based on the principle of sliding mode control and property of Nussbaum-type functions. The approach relaxes the hypothesis that the upper bound of function control gain is unknown constant and the supposition further broadness to unknown function. The unknown time-varying delay uncertainties are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. By theoretical analysis, the closed-loop control systems is proved to be semi-globally uniformly ultimately bounded. Simulation results demonstrate the effectiveness of the approach.
Qian Hou-bin Zhang Tian-ping
College of Information Engineering; 2.Coll. of Journalism & Communication., Yangzhou University, Yan College of Information Engineering; 2.Coll. of Journalism & Communication., Yangzhou University, Yan
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1752-1757
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）