Showing papers in "Systems & Control Letters in 2022"

TL;DR: In this paper , the minimum observability of Boolean control networks (BCNs) is investigated, where an augmented system is proposed to analyze the dynamical trajectories of state pairs, followed by an effective criterion for observability using graphic tools.

TL;DR: In this paper , a state feedback controller that stabilizes a class of uncertain nonlinear systems solely based on input-state data collected from a finite-length experiment is designed and sufficient conditions are derived to guarantee that the system is absolutely stabilizable and a controller is designed.

TL;DR: In this paper , an event-triggered control technique for a family of linear time-varying continuous-time systems with a constant known pointwise delay in the input is provided.

TL;DR: In this article , a new high performance least squares parameter estimator is proposed, which is applicable to nonlinearly parameterized regressions verifying a monotonicity condition and to a class of systems with switched time-varying parameters.

TL;DR: In this article , moment exponential stability of a class of Markovian switching stochastic differential equations with impulsive perturbations is studied and the authors derive explicit criteria for stability and instability.

TL;DR: In this article , the effect of errors in the estimation of the gradient, framed in the language of input to state stability, where the input represents a perturbation from the true gradient, is investigated.

TL;DR: In this paper , the authors developed new stability criteria for stochastic delayed differential systems with average-delay impulses by using Razumikhin approach, stochiastic analysis technique, average impulsive delay (AID) condition and average dwell time.

TL;DR: In this article , a robust event-triggered output feedback control of uncertain linear time-varying systems is proposed, which uses vectors of absolute values instead of the usual Euclidean 2-norms.

TL;DR: In this paper , a state-feedback controller with design parameters is proposed to tune the parameters online, wherein two types of switching sequences are involved to suppress serious uncertainties and to guarantee arbitrarily prescribed settling-time, respectively.

TL;DR: In this article , the problem of global asymptotic stabilization by digital state and output feedback, respectively, under arbitrarily sparse sampling, was studied for a family of time-delay feedforward systems satisfying a linear growth condition.

TL;DR: In this paper , an extended relative position measurement graph (ERPMG) is constructed to integrate all influencing factors of observability, including the motion inputs and relative position measurements of robots.

TL;DR: In this paper , a robust to early termination command governor is developed which embeds the solution of a CG problem into the internal states of a virtual continuous-time dynamical system which runs in parallel to the process.

TL;DR: In this paper, the authors propose a new algorithm that estimates on-line the parameters of a classical vector linear regression equation Y = Ω θ, where Y ∈ R n, Ω ∈ r n × q are bounded, measurable signals and θ ∈ ρ ∈ q is a constant vector of unknown parameters, even when the regressor Ω is not persistently exciting.

TL;DR: In this paper , the authors propose a new algorithm that estimates on-line the parameters of a classical vector linear regression equation Y = Ωθ, where Y ∈ Rn, Ω∈Rn×q are bounded, measurable signals and θ∈ Rq is a constant vector of unknown parameters, even when the regressor is not persistently exciting.

TL;DR: In this paper , the authors investigated feedback control techniques for the COVID-19 pandemic which are able to guarantee that the capacity of available intensive care unit beds is not exceeded.

TL;DR: In this paper , the authors presented improved finite time convergence bounds for the Natural Policy Gradient (NPG) algorithm, and showed that this algorithm has geometric (also known as linear) asymptotic convergence rate.

TL;DR: In this article , the uniform exponential stability approximation of a one-dimensional Schrödinger system with boundary damping was considered and two second-order semi-discretized finite difference schemes were derived for both the transformed system and the original system, which were shown to be equivalent to each other.

TL;DR: In this article , the authors model the interactions among agents in multi-agent systems as a multi-player game and design cost functions for the game and assume that each agent in the systems tends to minimize its own cost.

TL;DR: In this article , a distributed discontinuous funnel controller is constructed to ensure asymptotic convergence of the consensus errors with satisfaction of the funnel boundary, and the controller is analyzed using non-smooth analysis.

TL;DR: In this article , the authors studied a Stackelberg game where a sender (leader) attempts to shape the information of a less informed receiver (follower) who in turn takes an action that determines the payoff for both players.

TL;DR: In this paper , an existence result for saddle-point equilibria in zero-sum games involving teams against teams when common randomness is assumed to be available in each team with an analysis on conditions for compactness of strategic team measures is presented.

TL;DR: In this article , the problem of output regulation for nonlinear systems in the presence of periodic exogenous signals has been investigated, and the asymptotic properties of a controller given by an internal model designed by adding harmonics on the regulation error are investigated.

TL;DR: In this paper , a class of stochastic functional differential equations driven by the time-changed Brownian motion is studied and sufficient conditions ensuring the existence of the global attracting sets of considered equations are presented.

TL;DR: In this paper , a PID-based optimizer loop is proposed to solve nonlinear, unconstrained, multi-parameter optimization problems, which can improve convergence speed and accuracy compared to performances of fundamental nonlinear optimization techniques.

TL;DR: In this article , the Euler-Maruyama approximation of the Lyapunov exponent of stochastic delay differential equations was shown to reproduce exponential stability in mean square for sufficiently small step sizes.

TL;DR: In this article, a Lyapunov-Krasovskii functional (LKF) with linear bounds and strict dissipation rate based on the knowledge of an LKF with quadratic bounds and point-wise dissipation rates is presented.

TL;DR: In this article , a Lyapunov-Krasovskii functional (LKF) with linear bounds and strict dissipation rate based on the knowledge of an LKF with quadratic bounds and point-wise dissipation rates is presented.

TL;DR: In this article , a learning-based robust adaptive trajectory tracking controller for wheeled mobile robots (WMR) subject to velocity input uncertainties is proposed, which achieves asymptotic convergence of the trajectory tracking error instead of uniformly ultimately boundedness.

TL;DR: In this article , an active Fault Tolerant Control (FTC) scheme for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults is proposed.

TL;DR: In this article , a hybrid pantograph stochastic functional differential equations (HPSFDEs) are studied and moment properties and sample properties of the solutions such as moment exponential stability, almost sure exponential stability and almost sure polynomial stability are investigated.