GLOBALLY CONVERGENT ADAPTIVE CONTROL OF LINEAR SYSTEMS WITH DEAD-ZONE NONLINEARITY

In this paper, globally convergent adaptive control algorithms are presented for linear systems with dead-zone nonlinearity. These algorithms, which can be used to control the nonminimum phase systems, will ensure that the system input and output are sample mean-square bounded and achieve asymptotically the optimal control with the system parameters known. The results of simulation show that the algorithms are of good. performance.