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作者：Halder, Abhishek
作者单位：University of California System; University of California Santa Cruz
摘要：In this article the problem of ellipsoidal bounding of convex set-valued data, where the convex set is obtained by the p-sum of finitely many ellipsoids, for any real p >= 1 is studied. The notion of p-sum appears in the Brunn-Minkowski-Firey theory in convex analysis, and generalizes several well-known set-valued operations, such as the Minkowski sum of the summand convex sets (here, ellipsoids). We derive an outer ellipsoidal parameterization for the p-sum of a given set of ellipsoids, and c...
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作者：Gagrani, Mukul; Ouyang, Yi; Rasouli, Mohammad; Nayyar, Ashutosh
作者单位：University of Southern California; Stanford University
摘要：Consider a remote estimation problem where a sensor wants to communicate the state of an uncertain source to a remote estimator over a finite-time horizon. The uncertain source is modeled as an autoregressive process with bounded noise. Given that the sensor has a limited communication budget, the sensor must decide when to transmit the state to the estimator who has to produce real-time estimates of the source state. In this article, we consider the problem of finding a scheduling strategy fo...
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作者：Koch, Anne; Montenbruck, Jan Maximilian; Allgower, Frank
作者单位：University of Stuttgart
摘要：Due to their relevance in controller design, we consider the problem of determining the L-2-gain, passivity properties, and conic relations of an input-output system. While, in practice, the input-output relation is often undisclosed, input-output data tuples can be sampled by performing (numerical) experiments. Hence, we present sampling strategies for discrete time and continuous time linear time-invariant systems to iteratively determine the L-2-gain, the shortage of passivity and the cone ...
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作者：Min, Huifang; Xu, Shengyuan; Zhang, Zhengqiang
作者单位：Nanjing University of Science & Technology
摘要：In this article, the adaptive finite-time tracking control is studied for state constrained stochastic nonlinear systems with parametric uncertainties and input saturation. To this end, a definition of semiglobally finite-time stability in probability (SGFSP) is presented and a related stochastic Lyapunov theorem is established and proved. To alleviate the serious uncertainties and state constraints, the adaptive backstepping control and barrier Lyapunov function are combined in a unified fram...
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作者：Mousavi, Shima Sadat; Haeri, Mohammad; Mesbahi, Mehran
作者单位：Sharif University of Technology; Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Washington; University of Washington Seattle
摘要：This article investigates the robustness of strong structural controllability for linear time-invariant and linear time-varying directed networks with respect to structural perturbations, including edge deletions and additions. In this direction, we introduce a new construct referred to as a perfect graph associated with a network with a given set of control nodes. The tight upper bounds on the number of edges that can be added to, or removed from a network, while ensuring strong structural co...
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作者：Yang, Xuefei; Zhou, Bin; Mazenc, Frederic; Lam, James
作者单位：Harbin Institute of Technology; University of Hong Kong; Harbin Institute of Technology; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); Universite Paris Saclay
摘要：This article studies the problem of global stabilization of discrete-time linear systems subject to input saturation and time delay. The considered time-delay systems are first transformed into delay-free systems based on prediction technique. Then, by utilizing saturation functions technique, the corresponding global stabilizing controllers are proposed for two special discrete-time linear systems-a chain of integrators and oscillators, and explicit conditions guaranteeing stability are also ...
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作者：Astolfi, Daniele; Alessandri, Angelo; Zaccarian, Luca
作者单位：Universite Claude Bernard Lyon 1; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Engineering & Systems Sciences (INSIS); University of Genoa; Universite de Toulouse; Centre National de la Recherche Scientifique (CNRS); University of Trento
摘要：We propose a redesign paradigm for stable estimators by introducing a saturation or a dead-zone nonlinearity with adaptive thresholds on the output injection term. Such nonlinearities allow improving the sensitivity to measurement noise in different scenarios (impulsive disturbances or persistent noise such as sensor bias), while preserving the asymptotic convergence properties of the original observer. These redesigns apply to a broad class of state estimators, including linear observers, obs...
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作者：Pagliara, Renato; Leonard, Naomi Ehrich
作者单位：Princeton University
摘要：Contagious processes, such as spread of infectious diseases, social behaviors, or computer viruses, affect biological, social, and technological systems. Epidemic models for large populations and finite populations on networks have been used to understand and control both transient and steady-state behaviors. Typically it is assumed that after recovery from an infection, every agent will either return to its original susceptible state or acquire full immunity to reinfection. We study the netwo...
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作者：Lesage-Landry, Antoine; Taylor, Joshua A.; Callaway, Duncan S.
作者单位：Universite de Montreal; Polytechnique Montreal; University of Toronto; University of California System; University of California Berkeley
摘要：We consider online optimization with binary decision variables and convex loss functions. We design a new algorithm, binary online gradient descent (bOGD) and bound its expected dynamic regret. We provide a regret bound that holds for any time horizon and a specialized bound for finite time horizons. First, we present the regret as the sum of the relaxed, continuous round optimum tracking error, and the rounding error of our update in which the former asymptomatically decreases with time under...
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作者：Broucke, Mireille E.
作者单位：University of Toronto
摘要：In this article, we present a computational model of the oculomotor system and the cerebellum. In contrast with prevailing theories of cerebellar function, we propose the cerebellum embodies adaptive internal models of all persistent, exogenous, deterministic signals acting on the body and observable through the error signals it receives. Our model is validated by simulations, recovering results from a number of oculomotor experiments.
