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In this paper we present an online gaming algorithm based on policy iteration to solve the continuous-time (CT) two-player zero-sum game with infinite horizon cost for nonlinear systems with known dynamics. That is, the algorithm learns online in real-time the solution to the game design HJI equation. This method finds in real-time suitable approximations of the optimal value, and the saddle point...
This paper proposes a novel policy-iteration-based adaptive optimal scheme for uncertain continuous-time linear systems with excitation signals. The proposed method can solve the related linear quadratic optimal control problem in online fashion exactly and safely. In order to maintain persistence excitation condition, the controller injects the small excitation signals to the system. For this linear...
A direct adaptive control method with a simple identification of the controller parameters is presented for a class of uncertain time-varying nonlinear systems. The systems are divided into a finite number of subsystems, which are interpolated by functions of an exogenous scheduling variable. The adaptive method yields stability of all signals in the closed-loop, as well as convergence of the state...
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