Adaptive Feedback Control by Constrained Approximate Dynamic Programming

A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarantees. Prior knowledge of the linearized equations of motion is used to guarantee that the closed-loop system meets perform...

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Veröffentlicht in:	IEEE transactions on cybernetics 2008-08, Vol.38 (4), p.982-987
Hauptverfasser:	Ferrari, S., Steck, J.E., Chandramohan, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Adaptive control systems Adaptive systems Aerospace simulation Algorithms Approximate dynamic programming (ADP) Approximation Computer Simulation constrained optimization Constraint optimization Constraints Controllers Cybernetics Dynamic programming Dynamical systems Dynamics Equations Feedback Feedback control Models, Theoretical Neural networks Neural Networks (Computer) neural networks (NNs) Programmable control Programming, Linear Stability Systems Theory
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