141 citations · 286 across the 22 of their papers we have counts for
13 papers · 1 filter
On robustness, input-to-state stability and backstepping for stochastic differential equations
Robert H. Moldenhauer, Dragan Nešić, Mathieu Granzotto +2
We study conditions under which stability of the origin of stochastic differential equations is robust to small perturbations. We express robustness in two ways, firstly in the sen…
Two-Timescale Asymptotic Simulations of Hybrid Inclusions with Applications to Stochastic Hybrid Optimization
Max F. Crisafulli, Andrew R. Teel
Convergence properties of model-free two-timescale asymptotic simulations of singularly perturbed hybrid inclusions are developed. A hybrid inclusion combines constrained different…
Data-Driven Control of Continuous-Time LTI Systems via Non-Minimal Realizations
Alessandro Bosso, Marco Borghesi, Andrea Iannelli +2
This article proposes an approach to design output-feedback controllers for unknown continuous-time linear time-invariant systems using only input-output data from a single experim…
Emulation-based Stabilization for Networked Control Systems with Stochastic Channels
Wei Ren, Wei Wang, Zhuo-Rui Pan +3
This paper studies the stabilization problem of networked control systems (NCSs) with random packet dropouts caused by stochastic channels. To describe the effects of stochastic ch…
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…
On Moment Matching for Stochastic Systems
Giordano Scarciotti, Andrew R. Teel
In this paper we study the problem of model reduction by moment matching for stochastic systems. We characterize the mathematical object which generalizes the notion of moment to s…
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…
On reduction of differential inclusions and Lyapunov stability
Rushikesh Kamalapurkar, Warren E. Dixon, Andrew R. Teel
In this paper, locally Lipschitz, regular functions are utilized to identify and remove infeasible directions from set-valued maps that define differential inclusions. The resultin…
Global asymptotic stability of a PID control system with Coulomb friction
Andrea Bisoffi, Mauro Da Lio, Andrew R. Teel +1
We propose a model for representing a point mass subject to Coulomb friction in feedback with a PID controller, based on a differential inclusion comprising all the possible magnit…
Invariance-like results for Nonautonomous Switched Systems
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh +2
This paper generalizes the Lasalle-Yoshizawa Theorem to switched nonsmooth systems. Filippov and Krasovskii regularizations of a switched system are shown to be contained within th…
On generalized terminal state constraints for model predictive control
Lorenzo Fagiano, Andrew R. Teel
This manuscript contains technical results related to a particular approach for the design of Model Predictive Control (MPC) laws. The approach, named "generalized" terminal state…