Event-Triggered Adaptive Dynamic Programming of Nonlinear System with
Asymmetric Input Constraints and Uncertain Disturbances
Abstract
In this paper, an uncertain disturbance rejection control problem for
the affine system in the presence of asymmetric input constraints is
addressed using an event-triggered control method. The disturbance
rejection control is converted to an H ∞ optimal control problem, and a
Zero-sum game-based method is proposed to solve this H ∞ optimal control
problem. To deal with the input constraints, a new cost function is
proposed. The event-triggered controller is updated only when the
triggering condition is satisfied, which can reduce the computational
complexity.In order to obtain a controller that minimizes the
performance index function in the worst-case disturbance, we use a
critic-only network to solve the Hamilton-Jacobi-Isaacs(HJI) equation,
and the critic network weight is tuned through a gradient descent method
with the historical state data. The stability of the closed-loop system
and the uniform ultimate boundedness of the critic network parameters
are proved by the Lyapunov method. Two numerical examples are provided
to verify the effectiveness of the proposed methods.