Lyapunov-based design of resilient mixed MSE-dissipative-type state observers for a class of nonlinear systems and general performance criteria

DOI10.1080/00207721.2010.547634zbMath1233.93104OpenAlexW2064131690MaRDI QIDQ3006216

Chung Seop Jeong, Edwin Engin Yaz, Yvonne Ilke Yaz

Publication date: 10 June 2011

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2010.547634

zbMATH Keywords

continuous-time nonlinear systemlocally incrementally conic nonlinearitiesmean square error (MSE)-dissipative-type state observerstimation error

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Design techniques (robust design, computer-aided design, etc.) (93B51) (H^infty)-control (93B36) Least squares and related methods for stochastic control systems (93E24) Observability (93B07) Stochastic systems in control theory (general) (93E03)

Related Items (2)

Stochastically resilient extended Kalman filtering for discrete-time nonlinear systems with sensor failures ⋮ H_∞output tracking control for delta operator systems with insensitivity to controller coefficient variations

Cites Work

• Sliding mode observers for nonlinear models with unbounded noise and measurement uncertainties
• Resilient design of discrete-time observers with general criteria using LMIs
• An LMI approach to discrete-time observer design with stochastic resilience
• ADAPTIVE OBSERVER-BASED SYNCHRONIZATION FOR COMMUNICATION
• Canonical form observer design for non-linear time-variable systems
• Nonlinear Observers with Linearizable Error Dynamics
• Feedback control of nonlinear systems by extended linearization
• State observation of nonlinear uncertain dynamical systems
• Comparative study of non-linear state-observation techniques
• On the stabilization of nonlinear systems using state detection
• A simple observer for nonlinear systems applications to bioreactors
• Observer design for discrete and continuous non-linear stochastic systems
• Observer design for a class of nonlinear systems
• Robust, fragile, or optimal?
• Observers for Lipschitz nonlinear systems
• Variable structure observer with a boundary-layer for correlated noise/disturbance models and disturbance minimization
• A universal circuit for studying and generating chaos. I. Routes to chaos
• A sliding mode observer-based strategy for fault detection, isolation, and estimation in a class of Lipschitz nonlinear systems
• Observing the state of non-linear dynamic systems

This page was built for publication: Lyapunov-based design of resilient mixed MSE-dissipative-type state observers for a class of nonlinear systems and general performance criteria