A NARMAX model-based state-space self-tuning control for nonlinear stochastic hybrid systems

DOI10.1016/j.apm.2010.01.011zbMath1201.93079OpenAlexW1967754233MaRDI QIDQ611537

Jason Sheng-Hong Tsai, Chi-Chieh Kuang, Chu-Tong Wang, Shu-Mei Guo, Chia-Wei Chen, Leang San Shieh

Publication date: 14 December 2010

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2010.01.011

zbMATH Keywords

nonlinear control systemsNARMAX modeloptimal linearizationstate-space self-tuning control

Mathematics Subject Classification ID

Non-Markovian processes: estimation (62M09) Control/observation systems involving computers (process control, etc.) (93C83) Identification in stochastic control theory (93E12)

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Uses Software

• Simulink

Cites Work

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• On the stability and convergence of a self-tuning controller
• Self-tuning regulators—a state space approach
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• Hybrid adaptive control of continuous time systems
• On Pole Placement via Eigenstructure Assignment Approach

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