Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

DOI10.1007/978-981-13-5790-9zbMath1428.93006OpenAlexW2954057675MaRDI QIDQ5379768

Furong Gao, Ridong Zhang, Li-Min Wang

Publication date: 13 June 2019

Full work available at URL: https://rd.springer.com/content/pdf/10.1007%2F978-981-13-5790-9.pdf

zbMATH Keywords

fault-tolerant controliterative learning stabilization

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Feedback control (93B52) Fuzzy control/observation systems (93C42) Research exposition (monographs, survey articles) pertaining to systems and control theory (93-02) Robust stability (93D09) Iterative learning control (93B47)

Related Items (4)

Terminal constrained robust hybrid iterative learning model predictive control for complex time-delayed batch processes ⋮ Robust asynchronous switching predictive control for multi-phase batch processes with time-varying tracking trajectory and delay ⋮ Extension of iterative learning control design for batch processes with time-delay in the input subject to random cycle-varying uncertainties ⋮ Constrained model predictive fault-tolerant control for multi-time-delayed batch processes with disturbances: a Lyapunov-Razumikhin function method

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