In this paper, the discrete-time adaptive quasi-sliding mode control for mu
ltivariable systems with perturbations and partial model uncertainties is s
tudied. Even though no a priori knowledge of the perturbations is required,
the dead-zone function is constructed based on the on-line estimates of th
e upper bound of the perturbations. By applying the adaptation algorithm wi
th dead-zone, the unknown model parameters are estimated. Then, a discrete
quasi-sliding mode adaptive controller with no chattering is synthesized to
guarantee the global stability of the closed-loop systems in the sense tha
t all signals remain bounded. If some information of the perturbations is k
nown, the controller can be modified to improve the performance of the cont
rolled systems. Examples and simulation results are presented to illustrate
the proposed algorithms.