Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Stabilization of Nonlinear Uncertain Systems
Stabilization of Nonlinear Uncertain Systems
Brief Stability of extremum seeking feedback for general nonlinear dynamic systems
Automatica (Journal of IFAC)
Barrier function based model predictive control
Automatica (Journal of IFAC)
Brief Adaptive extremum seeking control of nonlinear dynamic systems with parametric uncertainties
Automatica (Journal of IFAC)
Robust and adaptive design of numerical optimization-based extremum seeking control
Automatica (Journal of IFAC)
Air flow control in fuel cell systems: an extremum seeking approach
ACC'09 Proceedings of the 2009 conference on American Control Conference
Particle swarm optimization-based extremum seeking control
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Brief paper: Control of nonlinear systems with time-varying output constraints
Automatica (Journal of IFAC)
Swarm intelligence-based extremum seeking control
Expert Systems with Applications: An International Journal
| Hi-index | 22.15 |
An extremum-seeking control problem is posed for a class of nonlinear systems with unknown dynamical parameters, whose states are subject to convex, pointwise inequality constraints. Using a barrier function approach, an adaptive method is proposed for generating setpoints online which converge to the feasible minimizer of a convex objective function containing the unknown dynamic parameters. A tracking controller regulates system states to the generated setpoint via state feedback, while maintaining feasibility of the state constraints. A simulation example demonstrates application of the method.