Data-Based H-infinity Tracking Control for Time-Delay Systems Via Adaptive Dynamic Programming
2020 Chinese Automation Congress (CAC)(2020)
Abstract
In this paper, an data-based H-infinity tracking control algorithm is studied for the discrete delay system with disturbances. The augmented system is constructed and then transformed into a data-based system consist of inputs, outputs, and reference trajectories, which replace the state vector by a data vector. Next, based on the Bellman optimality principle, the historical data is adopted to derive a new Bellman equation. In order to realize H-infinity tracking control, the input and disturbance are generalized to the zero-sum game problem. Finally, by collecting operational data online, a H-infinity tracking control method based on data-based reinforcement learning algorithm is presented. Simulation example shows that the proposed reinforcement learning tracking control method is effective.
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Key words
ADP, Data-based, Discrete system, H-infinity control
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