Definition
Stochastic adaptive control denotes the control of partially known stochastic control systems. The stochastic control systems can be described by discrete- or continuous-time Markov chains or Markov processes, linear and nonlinear difference equations, and linear and nonlinear stochastic differential equations. The solution of a stochastic adaptive control problem typically requires the identification of the partially known stochastic system and the simultaneous control of the partially known system using the information from the concurrent identification scheme. Two desirable goals for the solution of a stochastic adaptive control problem are called self-tuning and self-optimality. Self-tuning denotes the convergence of the family of adaptive controls indexed by time to the optimal control for the true system. Self-optimizing denotes the convergence of the long-run average costs to the optimal long-run average cost for the true system. Typically to achieve the...
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Acknowledgements
Research supported by NSF grant DMS 1108884, AFOSR grant FA9550-12-1-0384, and ARO grant W911NF-10-1-0248.
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Duncan, T. (2014). Stochastic Adaptive Control. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_231-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_231-1
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Stochastic Adaptive Control- Published:
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_231-2
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Stochastic Adaptive Control- Published:
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_231-1