4 papers
Concurrent learning in high-order tuners for parameter identification
Justin H. Le, Andrew R. Teel
High-order tuners are algorithms that show promise in achieving greater efficiency than classic gradient-based algorithms in identifying the parameters of parametric models and/or…
Analyzing the Effect of Persistent Asset Switches on a Class of Hybrid-Inspired Optimization Algorithms
Matina Baradaran, Justin H. Le, Andrew R. Teel
Convex optimization challenges are currently pervasive in many science and engineering domains. In many applications of convex optimization, such as those involving multi-agent sys…
Passive soft-reset controllers for nonlinear systems
Justin H. Le, Andrew R. Teel
Soft-reset controllers are introduced as a way to approximate hard-reset controllers. The focus is on implementing reset controllers that are (strictly) passive and on analyzing th…
Hybrid Heavy-Ball Systems: Reset Methods for Optimization with Uncertainty
Justin H. Le, Andrew R. Teel
Momentum methods for convex optimization often rely on precise choices of algorithmic parameters, based on knowledge of problem parameters, in order to achieve fast convergence, as…