Control of Chaos: Methods and Applications. I. Methods
Automation and Remote Control
Handbook of Chaos Control
Dynamic programming for deterministic discrete-time systems with uncertain gain
International Journal of Approximate Reasoning
Approximate robust dynamic programming and robustly stable MPC
Automatica (Journal of IFAC)
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In this paper the control of discrete chaotic systems by designing linear feedback controllers is presented. The linear feedback control problem for nonlinear systems has been formulated under the viewpoint of dynamic programming. For suppressing chaos with minimum control effort, the system is stabilized on its first order unstable fixed point (UFP). The presented method also could be employed to make any desired nth order fixed point of the system, stable. Two different methods for higher order UFPs stabilization are suggested. Afterwards, these methods are applied to two well-known chaotic discrete systems: the Logistic and the Henon Maps. For each of them, the first and second UFPs in their chaotic regions are stabilized and simulation results are provided for the demonstration of performance.