Robust adaptive control
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Adaptive Control
Brief paper: Parameter convergence in adaptive extremum-seeking control
Automatica (Journal of IFAC)
On non-local stability properties of extremum seeking control
Automatica (Journal of IFAC)
Survey paper: Optimal experimental design and some related control problems
Automatica (Journal of IFAC)
A control theoretical approach to self-optimizing block transfer in Web service grids
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Technical communique: On the choice of dither in extremum seeking systems: A case study
Automatica (Journal of IFAC)
Maintaining optimal communication chains in robotic sensor networks using mobility control
Proceedings of the 1st international conference on Robot communication and coordination
Brief paper: On global extremum seeking in the presence of local extrema
Automatica (Journal of IFAC)
ACC'09 Proceedings of the 2009 conference on American Control Conference
Extremum seeking control for efficient and reliable operation of air-side economizers
ACC'09 Proceedings of the 2009 conference on American Control Conference
Air flow control in fuel cell systems: an extremum seeking approach
ACC'09 Proceedings of the 2009 conference on American Control Conference
Stochastic extremum seeking with applications to mobile sensor networks
ACC'09 Proceedings of the 2009 conference on American Control Conference
Source seeking for two nonholonomic models of fish locomotion
IEEE Transactions on Robotics
Maintaining Optimal Communication Chains in Robotic Sensor Networks using Mobility Control
Mobile Networks and Applications
Extremum seeking under stochastic noise and applications to mobile sensors
Automatica (Journal of IFAC)
Particle swarm optimization-based extremum seeking control
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Automatica (Journal of IFAC)
Mathematics and Computers in Simulation
Collaborative estimation of gradient direction by a formation of AUVs
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Brief Adaptive extremum seeking control of nonlinear dynamic systems with parametric uncertainties
Automatica (Journal of IFAC)
An adaptive algorithm for control of combustion instability
Automatica (Journal of IFAC)
Extremum-seeking control of state-constrained nonlinear systems
Automatica (Journal of IFAC)
Extremum seeking control for soft landing of an electromechanical valve actuator
Automatica (Journal of IFAC)
Swarm intelligence-based extremum seeking control
Expert Systems with Applications: An International Journal
Multivariable Newton-based extremum seeking
Automatica (Journal of IFAC)
Fast extremum-seeking for Wiener-Hammerstein plants
Automatica (Journal of IFAC)
Extremum-seeking control for nonlinear systems with periodic steady-state outputs
Automatica (Journal of IFAC)
Lie bracket approximation of extremum seeking systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Hi-index | 22.18 |
While the mainstream methods of adaptive control (both linear and nonlinear) deal only with regulation to known set points or reference trajectories, in many applications the set point should be selected to achieve a maximum of an uncertain reference-to-output equilibrium map. The techniques of the so-called ''extremum control'' or ''self-optimizing control'' developed for this problem in the 1950-1960s have long gone out of fashion in the theoretical control literature because of the difficulties that arise in a rigorous analytical treatment. In this paper we provide the first proof of stability of an extremum seeking feedback scheme by employing the tools of averaging and singular perturbation analysis. Our scheme is much more general that the existing extremum control results which represent the plant as a static nonlinear map possibly cascaded with a linear dynamic block - we allow the plant to be a general nonlinear dynamic system (possibly non-affine in control and open-loop unstable) whose reference-to-output equilibrium map has a maximum, and whose equilibria are locally exponentially stabilizable.