Showing papers in "Automatica in 2020"

TL;DR: A novel second-order sliding mode control algorithm, which can be used to deal with the output constraint problem, has been developed and enables the output variable not to violate the boundary of the constraint region.

TL;DR: A parameter-adjustable-based lemma is developed, which contains the lemma popularly used in literature as a special case and has potential to reduce the conservatism without requiring extra decision variables.

TL;DR: An adaptive event-triggering protocol is constructed for consensus control by using relative information between agents by incorporating both adaptive control and event-triggered control.

TL;DR: This paper considers the security problem of dynamic state estimations in cyber–physical systems (CPSs) when the sensors are compromised by false data injection (FDI) attacks with complete stealthiness and proposes the necessary and sufficient condition of attack parameters such that FDI attacks can achieve complete Stealthiness.

TL;DR: The objective of the addressed variance-constrained estimation problem is to construct a recursive state estimator such that, in the simultaneous presence of event-based transmission strategy, randomly switching topologies as well as multiple missing measurements, a locally optimal upper bound is guaranteed on the estimation error covariance by properly determining the estimator gain.

TL;DR: It is theoretically shown that distributed consensus for the heterogeneous nonlinear multi-agent systems can be achieved in a fixed time, i.e., the achievement time for consensus is independent of any initial states.

TL;DR: This paper proposes a time-varying MH estimation method for linear systems with non-uniform sampling under component-based dynamic event-triggered transmission (DETT) scheme, where the desired estimator parameter is calculated by solving a set of linear matrix inequalities.

TL;DR: The aim is to design a distributed filter for each sensor node such that an upper bound on the filtering error variance is guaranteed and subsequently minimized at each iteration under the dynamic event-triggered transmission protocol.

TL;DR: A novel ASMC methodology is proposed which does not require a priori bounded uncertainty, and a general class of Euler–Lagrange systems is taken as a case study to show the applicability of the proposed design.

TL;DR: The problem of input-to-state stability (ISS) is systematically investigated for nonlinear systems with stochastic impulses and an example of coordination of multi-agent systems is provided to illustrate the effectiveness of the proposed new stability criteria.

TL;DR: The sufficient condition for Lyapunov stability is also given for this arbitrary chosen time stable system and the efficacy of the proposed method is illustrated through a practical system, viz., magnetic suspension system.

TL;DR: A new adaptive control scheme is established which ensures the global boundedness of all signals in the resulting closed-loop system under a class of switching signals with MDADT property and is utilized to solve the adaptive tracking control problem for aclass of switched uncertain lower triangular nonlinear systems with unmodeled dynamics.

TL;DR: This paper studies the exponential stability of nonlinear delay systems by means of event-triggered impulsive control (ETIC) approach, where impulsive instants are determined by a Lyapunov-based event-Triggered mechanism (ETM).

TL;DR: This work presents a robust adaptive control solution free from “feasibility conditions” and capable of accommodating much more general dynamic constraints, rendering the resultant control less demanding in design and more user-friendly in implementation.

TL;DR: The proposed control design achieves prescribed-time stabilization for the considered general class of uncertain nonlinear systems in a generalized strict-feedback-like structure with state-dependent nonlinear uncertainties throughout the system dynamics.

TL;DR: A new stochastic adaptive dual-domination approach is designed, in which two gains are suitably selected to dominate the unknown sensor sensitivity and unknown growth rate, respectively, and it is proved that the closed-loop system has an almost surely unique solution on [ 0, + ∞ ) and that regulation to the equilibrium at the origin of theclosed- loop system is achieved almost surely.

TL;DR: It is proved that the proposed approach guarantees output tracking with prescribed accuracy and constraint satisfactions simultaneously, even if actuator faults occur, and a new-type error boundary is introduced to the control design.

TL;DR: The problem of sliding mode observer design is investigated for a class of repeated scalar nonlinear systems via dynamic event-triggered approach and an event- triggered controller is designed to ensure that the closed-loop system trajectories are restricted to the pre-specified sliding region.

TL;DR: A novel design approach is proposed by delicately revamping the technique of adding a power integrator with the introduction of a distinctive asymmetric barrier Lyapunov function and performing a skillful manipulation of sign functions to simultaneously tackle the problem of finite-time stabilization for high-order nonlinear systems with and without asymmetric output constraints.

TL;DR: In this article, a distributed adaptive consensus for a class of strict-feedback nonlinear systems under directed topology condition is investigated, where a local compensatory variable is generated based on the signals collected from its neighbors.

TL;DR: Sufficient conditions for the existence of the expected observer-based PID controller are presented to ensure the input-to-state stability of the closed-loop system while achieving the prescribed security index.

TL;DR: This paper investigates distributed consensus tracking problem for uncertain nonlinear systems with event-triggered communication and shows that for both fault-free and faulty cases, all closed-loop signals are ensured globally uniformly bounded and the tracking errors of all subsystems states will converge to a compact set.

TL;DR: The models of intermittently coupled complex-valued networks (ICCVNs) are presented to reveal the mechanism of intermittent coupling, where the nodes are connected merely in discontinuous time durations, by proposing a direct error method and constructing piecewise Lyapunov functions.

TL;DR: This paper derives the minimum mean-square error (MMSE) state estimator, and state a necessary and sufficient condition with a trivial gap, for its stability, and quantifies the advantage offered by the proposed coding scheme.

TL;DR: It is shown that the convergence of the AUV trajectory can be guaranteed by the proposed contraction constraints in the decomposed subproblems, and a real-time distributed implementation algorithm is further developed to automatically trade off between control performance and computational complexity.

TL;DR: This paper is the first time that an output feedback-based consensus control algorithm is proposed for the multiagent systems based on a fixed directed topology and it is proved strictly that each state variable of followers can asymptotically track that of the leader based on the constructed controller.

TL;DR: This paper forms a one-time attack duration model for such discontinuous replay attacks, and proposes a periodic watermarking strategy which aims to reduce the control cost, and obtains an optimal periodic water marking strategy for the approximate detection performance.

TL;DR: A new estimator in delta-domain is proposed to estimate the states of the attacked CPS by utilization of a dissipativity approach, estimator-based time-driven controller and self-triggered controller are designed for the enhancement of the estimations and the resource saving.

TL;DR: This study improves the estimation accuracy of the missing outputs of the ARX models with missing outputs by introducing a modified Kalman filter, and the parameter estimation convergence rate by deriving a new multi-step-length formulation.

TL;DR: Methods to design bounded linear time-varying (LTV) controllers such that the control performance of alinear time-invariant (LTI) system can be improved, that is, the finite-time stability of the closed-loop systems can be obtained.