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This paper concerns a novel data-based policy iteration control method for discrete-time systems with disturbances. To avoid the need of system dynamic and state, a new system equation is constructed by using system operation data. Based on this, we derive a new data-based Bellman equation that can be applied to the design of model-free policy iteration algorithm. For discrete-time system with disturbances, we transform <inline-formula> <tex-math notation="LaTeX">$H_\infty $ </tex-math></inline-formula> control into a zero-sum game problem, and then use the proposed new data-based PI method to solve it. Wind turbine control is a typical control problem with time delay and disturbance. Mathematical simulation results are given to demonstrate the effectiveness of the proposed data-based PI control method.

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<inline-formula> <tex-math notation="LaTeX">$H_\infty$ </tex-math></inline-formula>Control for a Class of Discrete-Time Systems via Data-Based Policy Iteration With Application to Wind Turbine Control

$H_\infty$ Control for a Class of Discrete-Time Systems via Data-Based Policy Iteration With Application to Wind Turbine Control