Sampled-data extremum-seeking framework for constrained optimization of nonlinear dynamical systems
From MaRDI portal
Publication:2151945
DOI10.1016/j.automatica.2022.110415zbMath1496.93074OpenAlexW4281811029MaRDI QIDQ2151945
Leroy Hazeleger, Dragan Nešić, Nathan van de Wouw
Publication date: 5 July 2022
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2022.110415
Applications of mathematical programming (90C90) Nonlinear systems in control theory (93C10) Sampled-data control/observation systems (93C57)
Related Items (1)
Cites Work
- Unnamed Item
- Classical converse theorems in Lyapunov's second method
- A non-gradient approach to global extremum seeking: an adaptation of the Shubert algorithm
- A compendium of comparison function results
- Extremum-seeking control for nonlinear systems with periodic steady-state outputs
- A one-measurement form of simultaneous perturbation stochastic approximation
- On non-local stability properties of extremum seeking control
- Stability of extremum seeking feedback for general nonlinear dynamic systems
- Multidimensional global extremum seeking via the DIRECT optimisation algorithm
- Extremum-seeking control of state-constrained nonlinear systems
- Unified frameworks for sampled-data extremum seeking control: global optimisation and multi-unit systems
- A constrained extremum‐seeking control approach
- A smooth Lyapunov function from a class-${\mathcal{KL}}$ estimate involving two positive semidefinite functions
- Weak Converse Lyapunov Theorems and Control-Lyapunov Functions
- Extremum Seeking for Constrained Inputs
- A converse Lyapunov theorem for discrete-time systems with disturbances
- Sufficient conditions for stabilization of sampled-data nonlinear systems via discrete-time approximations
This page was built for publication: Sampled-data extremum-seeking framework for constrained optimization of nonlinear dynamical systems
