Unknown inputs observer design for fuzzy systems with application to chaotic system reconstruction

DOI10.1016/j.camwa.2013.01.018zbMath1343.93052OpenAlexW2066132406MaRDI QIDQ305490

T. Youssef, Ivan Zelinka, Mohammed Chadli

Publication date: 30 August 2016

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2013.01.018

zbMATH Keywords

state estimationLyapunov methodfuzzy modelchaotic system reconstructionlinear matrix inequalities (LMI)unknown inputs

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Cryptography (94A60) Observability (93B07)

Related Items (4)

Fuzzy finite-time stability of chaotic systems with time-varying delay and parameter uncertainties ⋮ Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model ⋮ Chaos synchronization based on unknown input proportional multiple-integral fuzzy observer ⋮ On the impulsive synchronization control for a class of chaotic systems

Cites Work

• Unnamed Item
• Unnamed Item
• Investigation on evolutionary optimization of chaos control
• New approaches to \(H_{\infty}\) controller designs based on fuzzy observers for T-S fuzzy systems via LMI
• Sliding mode observers for fault detection and isolation
• Evolutionary algorithms and chaotic systems
• Fuzzy identification of systems and its applications to modeling and control
• Linear Matrix Inequalities in System and Control Theory
• Robustness of Synchronized Chaotic Oscillations
• H/sub ∞/ design with pole placement constraints: an LMI approach

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