Showing papers in "Automatica in 2019"

TL;DR: The finite-time control problem of the nonlinear system with dead-zone is solved and the adaptive backstepping method is proposed, and the effectiveness of the proposed scheme is verified via some simulation results.

TL;DR: In this article, the authors provide a comprehensive account of the motivations behind the use of event-triggered strategies for consensus, the methods for algorithm synthesis, the technical challenges involved in establishing desirable properties of the resulting implementations, and their applications in distributed control.

TL;DR: It is shown that by properly choosing a weighting matrix parameter, each estimator can respectively detect the deception attacks launched on the system layer and sensor intercommunication links.

TL;DR: It is shown that the settling-time of nonlinear impulsive systems depends not only on the initial state but also on the impulse effect, and several Lyapunov-based FTS theorems involving stabilizing impulses and destabilizing impulses are established.

TL;DR: It is shown that the cooperative output regulation problem for linear multi-agent systems with actuator faults can be solved with the proposed fault-tolerant controller.

TL;DR: Based on the finite time stability criterion, it is proved that both the tracking performance and the closed-loop stability can be ensured in a finite time.

TL;DR: Different from some conventional fixed-time consensus strategies, where the magnitude of initial control input is large, the proposed TBG-based protocols significantly reduce the magnitude, which is demonstrated through comparison studies using illustrative examples.

TL;DR: This paper investigates the robust cooperative output regulation problem of uncertain linear multi-agent systems with additive disturbances via the celebrated internal model principle with two novel distributed controllers based on the adaptive control strategy and the event-triggered transmission scheme.

TL;DR: In this article, a distributed algorithm for computation of a generalized Nash equilibrium (GNE) in non-cooperative games over networks is proposed, where the feasible decision sets of all players are coupled together by a globally shared affine constraint.

TL;DR: The “explosion of complexity” problem inherent in all the existing results of backstepping-based full-state constraints area is solved by the proposed adaptive output feedback control via command filtered backstepped.

TL;DR: The necessary and sufficient condition for containment control without time-delay which is related to the value of the step-size and the structure of the interaction topology through the iterative method is provided.

TL;DR: A new finite-time stability result is established to provide a less conservative estimation of convergent time in uncertain situation, and a state feedback stabilizer with an adaptive mechanism is constructed by applying continuous domination to adaptive fashion of the systems to be considered.

TL;DR: Dissipativity analysis and synthesis are both investigated for the closed-loop system, and consequently sufficient conditions are derived, which pave the way for solving the event-triggering observer-based dissipative sliding mode control problem.

TL;DR: A novel policy iteration algorithm, which can find the optimal state feedback controller in finite iteration steps, is proposed by resorting to Laurent series expression for the average infinite horizon problem of BCNs.

TL;DR: A new finite-horizon H∞ control problem is considered for a class of time-varying systems with stochastic nonlinearities, measurements degradation and chance constraints and sufficient conditions are derived for the existence of the desired multi-objective controller.

TL;DR: The main contribution is the introduction of a mathematically rigorous and computationally tractable framework for stabilizing model predictive control with online parameter estimation to improve performance and reduce conservatism.

TL;DR: This paper aims to design an asynchronous state feedback controller for Markov jump time-delay systems that is quantized by a logarithmic quantizer, and both the controller and quantizer are asynchronous with the controlled systems.

TL;DR: A new framework for optimal and feedback control of PDEs using Koopman operator-based reduced order models (K-ROMs) is presented and it is shown that thevalue of the K-ROM based objective function converges in measure to the value of the full objective function.

TL;DR: It is proved that the disturbance observer error as well as the system states converges to the origin in finite time.

TL;DR: The efficiency of the proposed criteria is illustrated by three numerical examples, where a stabilizing memoryless controller for FTCS of a second-order LTV system with time delay is proposed.

TL;DR: In this paper, the input-output finite-time mean square stabilization problem for a class of nonlinear semi-Markovian jump systems (SMJSs) with time-varying delay is considered.

TL;DR: This work designs a protector for each sensor based on the online innovation information from its neighboring sensors to decide whether to use the received data at each time, and uses a stochastic rule to transform the threshold detection.

TL;DR: This paper proposes four resilient state feedback based leader–follower tracking protocols that guarantee bounded L2 gains of certain errors in terms of the L2 norms of fault signals and shows the duality between the adaptive compensation protocols and the H∞ control protocols.

TL;DR: An adaptive output feedback control law is developed which achieves convergence to the steady regulation in the L2 sense and finite time convergence to equilibrium are achieved.

TL;DR: New criteria for globally uniformly exponential stability and globally uniformly asymptotic stability of the corresponding closed-loop system are derived and an algorithm is presented to solve the gain synthesis problem.

TL;DR: A finite-horizon filter is designed such that an upper bound is guaranteed on the filtering error covariance at each time instant and the filter gain minimizing is subsequently obtained in terms of the solution to a set of recursive equations.

TL;DR: It is shown minimizing aerodynamic drag can maximize utilization of energy available at the wheel and requires low and constant speeds and periods of maximal acceleration, maximal braking, and coasting often accompany constant speed cruising to satisfy boundary conditions on the states.

TL;DR: This paper considers the fault detection problem for networked switched control systems subject to repeated scalar nonlinearities and stochastic disturbance under an event-triggered scheme and proposes a nonlinear fault detection filter to generate the residual signal and detect system faults.

TL;DR: This paper proposes a distributed SSE algorithm via consensus-based distributed non-convex optimization protocols that achieves consensus at the true system state with probability one under the condition of the graph being regular with a certain prescribed connectivity.

TL;DR: The main focus of this paper is on the analysis and design scheme of performance-based fault detection and fault-tolerant control for automatic control systems with incipient (slowly developing) multiplicative faults.