Showing papers in "Automatica in 2015"

TL;DR: A survey of formation control of multi-agent systems focuses on the sensing capability and the interaction topology of agents, and categorizes the existing results into position-, displacement-, and distance-based control.

TL;DR: In this paper, an attack space defined by the adversary's model knowledge, disclosure, and disruption resources is introduced, and an attack policy for each scenario is described and the attack's impact is characterized using the concept of safe sets.

TL;DR: This paper investigates the fixed-time consensus tracking problem for second-order multi-agent systems in networks with directed topology with a proposed framework that eliminates the singularity and the settling time is assignable for any initial conditions.

TL;DR: New nonlinear control laws are designed for robust stabilization of a chain of integrators using Implicit Lyapunov Functions for finite-time and fixed-time stability analysis of nonlinear systems.

TL;DR: The exponential convergence of the proposed algorithm under strongly connected and weight-balanced digraph topologies when the local costs are strongly convex with globally Lipschitz gradients is established, and an upper bound on the stepsize is provided that guarantees exponential convergence over connected graphs for implementations with periodic communication.

TL;DR: Using Lyapunov's second method and the contraction mapping principle, some conditions ensuring the existence and global attractiveness of unique periodic solutions are derived, which are given from impulsive control and impulsive perturbation points of view.

TL;DR: Using a supplementary variable technique and a plant transformation, a finite phase-type semi-Markov process has been transformed into a finite Markov chain, which is called its associated MarkovChain, and phase- type semi- Markovian jump systems can be equivalently expressed as its associatedMarkovianJump systems.

TL;DR: This paper presents new results on global finite-time stabilization for a class of switched strict-feedback nonlinear systems, whose subsystems have chained integrators with the powers of positive odd rational numbers.

TL;DR: It is shown that the designed state-feedback controllers can ensure that all the signals remain bounded and the tracking error converges to a small neighborhood of the origin.

TL;DR: The discontinuous and continuous super-twisting protocols upon integral sliding mode (ISM) algorithm are respectively developed to achieve finite-time tracking consensus ofMAS with one leader and finite- time containment consensus of MAS with multiple leaders in spite of the disturbances.

TL;DR: Two stability criteria for systems with discrete and distributed delays are derived within the framework of linear matrix inequalities (LMIs) and the advantage of employing the proposed inequalities is illustrated via two numerical examples.

TL;DR: This paper studies leader-follower synchronization in heterogeneous dynamic networks via distributed impulsive control to drive the followers to approximately synchronize with the leader within a nonzero error bound, referred to as quasi-synchronization.

TL;DR: By combining radial basis function neural networks' universal approximation ability and adaptive backstepping technique with common stochastic Lyapunov function method, an adaptive control algorithm is proposed for the considered system and it is shown that the target signal can be almost surely tracked by the system output.

TL;DR: A new integral inequality was devised that is tighter than existing ones that was used to investigate the stability of linear systems with a discrete distributed delay, and a new stability condition was established.

TL;DR: A new bounded real lemma (BRL) is established such that the filtering error system is asymptotically stable with the prescribed H ∞ performance.

TL;DR: By means of the Lyapunov function theory and the comparison principle, conditions are derived for ensuring global exponential leader-following consensus under the presented three kinds of partial mixed impulses.

TL;DR: A novel definition of consensus in probability is proposed to better describe the dynamics of the consensus process of the addressed stochastic multi-agent systems with state-dependent noises.

TL;DR: The notion of covariation is introduced and results in an explicit bridge between the zonotopic set-membership and the stochastic paradigms for Kalman Filtering, which is fully taken into account in the LMI-based robust stability analysis.

TL;DR: A state-estimation-based sliding mode control law is designed to guarantee the reachability of the sliding surface in finite time interval and a stochastic stability criterion is established for all admissible uncertainties, which can guarantee the error system and sliding mode dynamics to be asymptotically stochastically stable with a given disturbance attenuation level.

TL;DR: A decentralized adaptive backstepping control scheme is proposed for a class of interconnected nonlinear time-varying systems and it is shown that the tracking errors can converge to predefined arbitrarily small residual sets with prescribed convergence rate and maximum overshoot, independent of the parameters variation speed and the strength of interactions.

TL;DR: This paper investigates the finite-time stabilization problem for a class of high-order uncertain nonlinear systems and proposes a novel control strategy combining sign function with delicate adaptive technique that can handle serious uncertainty and nonlinear growth rate.

TL;DR: This paper deals with the problem of finite-time stabilization for a class of high-order stochastic nonlinear systems in strict-feedback form by using Ito's formula, mathematical induction and backstepping design method to guarantee that the closed-loop high- order nonlinear system has a unique solution and the solution of theclosed-loophigh-order non linear system is finite- time stable.

TL;DR: New adaptive finite time continuous distributed control algorithms are proposed for the multi-agent systems and it is shown that the states of the mechanical systems can reach a consensus within finite time under an undirected graph.

TL;DR: This study addresses the set stability of Boolean networks (BNs) and set stabilization of Boolean control networks (BCNs), where set stability determines whether a BN converges to a given subset, whereas set stabilizability addresses the issue of whether a BCN can be stabilized to agiven subset.

TL;DR: Certain techniques are explored such that the obtained performance index is of strictly non-weighted H ∞ norm, which contrasts with the weighted ones, i.e., weaker noise attenuation in the existing literature of switched systems with average dwell-time.

TL;DR: This paper investigates the distributed consensus tracking problems of multi-agent systems on undirected graph with a fixed topology and proposes a distributed robust adaptive neural networks-based control scheme to guarantee the consensus output tracking errors between the followers and the leader are cooperatively semi-globally uniformly ultimately bounded.

TL;DR: The existence and uniqueness of the solution for the closed-loop system are proved, the monotonicity of the "reaching condition" is presented without differentiation of the sliding mode function, and the numerical simulations validate the effectiveness of this method for the system with periodic and normal random disturbances respectively.

TL;DR: It is demonstrated that the primary droop control strategy is able to achieve fair and stable load sharing and an economic dispatch of the generation formulated as a quadratic and linearly-constrained optimization problem on the source injections.

TL;DR: It is proved that the exponential consensus of the multi-agent system can be achieved with the proposed consensus protocol and a simulation example is given to illustrate the effectiveness of the proposed protocol.

TL;DR: This work modify the conventional output regulation error in such a way that it can handle more than one leader, and introduces a dynamic compensator, based on a new formulation for containment error.