193 citations
- Duke UniversityUS7 papers
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- Information and Mathematical Science and Bioinformatics (Japan)JP6 papers
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- Georgia Institute of TechnologyUS4 papers
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9 papers · 1 filter
On infinitesimal contraction analysis for hybrid systems
Samuel A. Burden, Thomas Libby, Samuel D. Coogan
Infinitesimal contraction analysis, wherein global asymptotic convergence results are obtained from local dynamical properties, has proven to be a powerful tool for applications in…
Software Rejuvenation for Secure Tracking Control
Raffaele Romagnoli, Bruce H. Krogh, Dionisio de Niz +1
Software rejuvenation protects cyber-physical systems (CSPs) against cyber attacks on the run-time code by periodically refreshing the system with an uncorrupted software image. Th…
Cost-Bounded Active Classification Using Partially Observable Markov Decision Processes
Bo Wu, Mohamadreza Ahmadi, Suda Bharadwaj +1
Active classification, i.e., the sequential decision-making process aimed at data acquisition for classification purposes, arises naturally in many applications, including medical…
Control of Multi-Agent Systems with Finite Time Control Barrier Certificates and Temporal Logic
Mohit Srinivasan, Samuel Coogan, Magnus Egerstedt
In this paper, a method to synthesize controllers using finite time convergence control barrier functions guided by linear temporal logic specifications for continuous time multi-a…
p-norm-like Constraint Leaky LMS Algorithm for Sparse System Identification
Yong Feng, Rui Zeng, Jiasong Wu
In this paper, we propose a novel leaky least mean square (leaky LMS, LLMS) algorithm which employs a p-norm-like constraint to force the solution to be sparse in the application o…
Distributed MIN-MAX Optimization Application to Time-optimal Consensus: An Alternating Projection Approach
Chunhe Hu, Zongji Chen
In this paper, we proposed an alternating projection based algorithm to solve a class of distributed MIN-MAX convex optimization problems. We firstly transform this MINMAX problem…