Showing papers in "Automatica in 2022"

TL;DR: In this article , a resilient practical cooperative output regulation (CORP) problem is addressed for heterogeneous linear multi-agent systems with unknown switching exosystem dynamics under denial-of-service (DoS) attacks.

TL;DR: In this article, a weighted Cauchy kernel-based maximum correntropy criterion instead of the traditional minimum variance is put forward to evaluate the filtering performance against non-Gaussian noises as well as cyber-attacks.

TL;DR: In this paper , a weighted Cauchy kernel-based maximum correntropy criterion instead of the traditional minimum variance is put forward to evaluate the filtering performance against non-Gaussian noises as well as cyber-attacks.

TL;DR: In this article , a reduced-order filter design method for fuzzy Markov jump affine systems with dynamic event-triggered protocol and uncertain packet dropouts was investigated. But the authors focused on the nonlinearity of the non-linearity and broadening practical application.

TL;DR: In this paper , an adaptive dynamic event-triggered (ADET) scheme for one-to-all and oneto-one ETC is developed, in which on-line triggering parameters associated with each node or edge and dynamic thresholds with updating laws are introduced, respectively.

TL;DR: In this article , a Lyapunov functional is constructed, whose forward difference along with the trajectory of the closed-loop system is estimated as a quartic polynomial, and a bounded real condition is formulated, which depends on the upper bound of network-induced delays and the maximum number of consecutive malicious packet dropouts.

TL;DR: In this article , the orthonormal subspace analysis (OSA) method is proposed to detect a fault and also judge whether the fault is KPI-related or not.

TL;DR: In this paper , a monotone-delay-interval-based Lyapunov functional is proposed for linear time-invariant (LTI) systems with a time-varying delay.

TL;DR: In this article , an RTS smoother based expectation-maximization algorithm is proposed for the joint estimation for unknown system parameters and states, which can improve the estimation accuracy compared with the Kalman filtering.

TL;DR: In this paper , a control method that achieves pre-assignable tracking precision within the prescribed time is presented for nonlinear systems in the presence of non-vanishing disturbances and mismatched uncertainties over the infinite time interval.

TL;DR: In this paper , a logic-based distributed switching control for nonlinear agents in power-chained form is proposed, where logicbased (switching) control arises from the online estimation of the control directions assumed to be unknown for all agents.

TL;DR: In this paper , a novel event-triggered predictive control is proposed to exponentially stabilize nonlinear stochastic systems with output delay, which allows non-uniform sampled measurements and large delays involved in the output.

TL;DR: In this article , the input-to-state stability (ISS) problem of switched linear systems with unstabilizable modes is investigated under denial-of-service (DoS) attacks and external disturbance.

TL;DR: In this article , the authors proposed a new framework for opacity for distributed state estimation in cyber-physical systems (CPSs), which allows each node to broadcast its explicit state information to its neighbors, which results in the disclosure of CPSs secret state.

TL;DR: In this paper , the authors investigated finite-time stabilization of output-constrained stochastic high-order nonlinear systems, and proved that all the closed-loop signals are bounded almost surely.

TL;DR: In this paper , a distributed control algorithm relying only on the information of the framers associated with each agent and its neighbors is proposed, which can render the reduced-order framer to be an exponential reducedorder interval observer, and simultaneously drive the uncertain MAS to reach robust consensus exponentially.

TL;DR: In this article, a distributed control algorithm relying only on the information of the framers associated with each agent and its neighbors is proposed to solve the consensus problem of a continuous-time uncertain multi-agent system with time-varying interval uncertainties.

TL;DR: In this article , a robust tube-based MPC solution with Koopman operators is proposed for nonlinear discrete-time dynamical systems with additive disturbances, and the proposed controller is composed of a nominal MPC using a lifted koopman model and an off-line nonlinear feedback policy.

TL;DR: In this paper , the output feedback boundary control of reaction-diffusion PDEs with either distributed or boundary measurement by means of a finite-dimensional observer is investigated, and it is shown that a state-feedback combined with a finitedimensional observer can always be successfully designed in order to achieve the Dirichlet boundary stabilization.

TL;DR: In this article , an event-based encoding strategy is developed to encode the measurement signals into 1-bit codewords so as to reduce network resource consumption, and a necessary condition is proposed to derive a lower bound of the bit rate below which the decoding error diverges.

TL;DR: In this paper , a consensus-based formation tracking scheme for multi-robot systems utilizing the Negative Imaginary (NI) theory is proposed, which applies to a class of networked robotic systems that can be modelled as a group of single integrator agents with stable uncertainties connected via an undirected graph.

TL;DR: In this article , a double asynchronous fault detection filter is designed to take the place of the traditional filter and tackle the fault detection problem for fuzzy semi-Markov jump systems, where the premise variables and the modes are usually mismatched for both the filter and the plant in actual network environment.

TL;DR: In this article , a predictor-based continuous-discrete observer is designed to estimate system state, and an event-triggered controller is second proposed to globally exponentially stabilize the nonlinear uncertain system.

TL;DR: In this article, the output feedback boundary control of reaction-diffusion PDEs with either distributed or boundary measurement by means of a finite-dimensional observer is investigated, and it is shown that a state-feedback combined with a finitedimensional observer can always be successfully designed in order to achieve the Dirichlet boundary stabilization.

TL;DR: In this article , a multiplicity-induced dominancy (MID) strategy is employed to design and tune PID controller gains, which is shown to possess desirable properties that ensure specified decay rate of the closed-loop response and the stability robustness of the system in spite of variations in the delay parameter.

TL;DR: In this article , a distributed asynchronous state observer design for H∞ analysis of Markov jump systems with partial mode information through sliding mode control approach is proposed, in order to enhance the reliability and efficiency of communication network.

TL;DR: In this article, an event-triggered H ∞ admissible analysis and controller synthesis for discrete delayed singular Markovian jump network systems with output quantizations is presented.

TL;DR: In this paper , the authors investigate the problem of control synthesis for a class of discrete-time semi-Markov jump linear systems, in which the sojourn time of each mode is bi-boundary (with upper and lower bounds).

TL;DR: In this article , a distributed asynchronous state observer design for H∞ analysis of Markov jump systems with partial mode information through sliding mode control approach is proposed, in order to enhance the reliability and efficiency of communication network.

TL;DR: In this paper , an event-triggered H ∞ admissible analysis and controller synthesis for discrete delayed singular Markovian jump network systems with output quantizations is presented.