Optimal probability density function control for NARMAX stochastic systems

DOI10.1016/j.automatica.2007.11.028zbMath1149.93350OpenAlexW2019014510MaRDI QIDQ958295

Hong Wang, Aiping Wang, Lei Guo

Publication date: 3 December 2008

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://www.research.manchester.ac.uk/portal/en/publications/optimal-probability-density-function-control-for-narmax-stochastic-systems(388b0700-7f62-40bb-abf4-07ad9e08e541).html

zbMATH Keywords

optimal controlstability analysisnonlinear systemsstochastic controltime-delay systemsprobability density functionsnon-Gaussian systems

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Optimal stochastic control (93E20) Stochastic stability in control theory (93E15)

Related Items (5)

Multi-objective PID control for non-Gaussian stochastic distribution system based on two-step intelligent models ⋮ ESTIMATING PROBABILITY DENSITY FUNCTIONS AND ENTROPIES OF CHUA'S CIRCUIT USING B-SPLINE FUNCTIONS ⋮ Feedback control of nonlinear stochastic systems for targeting a specified stationary probability density ⋮ Function based fault detection for uncertain multivariate nonlinear non-Gaussian stochastic systems using entropy optimization principle ⋮ Fault Diagnosis and Sliding Mode Fault Tolerant Control for Non‐Gaussian Stochastic Distribution Control Systems Using T‐s Fuzzy Model

Cites Work

• Bounded dynamic stochastic systems. Modelling and control
• Minimax optimal control of stochastic uncertain systems with relative entropy constraints
• Minimum entropy control of closed-loop tracking errors for dynamic stochastic systems
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