Adaptive low-gain integral control of linear systems with input and output nonlinearities

Discrete-time low-gain control of linear systems with input/output nonlinearities

Discrete-time low-gain control strategies are presented for tracking of constant reference signals for "nite-dimensional, discrete-time, power-stable, single-input, single-output, linear systems subject to a globally Lipschitz, non-decreasing input nonlinearity and a locally Lipschitz, non-decreasing, a$nely sectorbounded output nonlinearity (the conditions on the output nonlinearities may be r...

Time-Varying and Adaptive Integral Control of Linear Systems with Actuator and Sensor Nonlinearities

Low-gain integral control strategies are presented for tracking of constant reference signals for asymptotically stable, finite-dimensional, single-input, single-output, continuoustime or discrete-time linear systems subject to certain classes of actuator and sensor nonlinearities. Both non-adaptive (but possibly time-varying) and adaptive integrator gains are considered in continuous-time, dis...

Robust Adaptive Actuator Failure Compensation of MIMO Systems with Unknown State Delays

In this paper, a robust adaptive actuator failure compensation control scheme is proposed for a class of multi input multi output linear systems with unknown time-varying state delay and in the presence of unknown actuator failures and external disturbance. The adaptive controller structure is designed based on the SPR-Lyapunov approach to achieve the control objective under the specific assump...

Low-gain integral control of continuous-time linear systems subject to input and output nonlinearities

Adaptive Leader-Following and Leaderless Consensus of a Class of Nonlinear Systems Using Neural Networks

This paper deals with leader-following and leaderless consensus problems of high-order multi-input/multi-output (MIMO) multi-agent systems with unknown nonlinear dynamics in the presence of uncertain external disturbances. The agents may have different dynamics and communicate together under a directed graph. A distributed adaptive method is designed for both cases. The structures of the contro...