Showing papers in "Systems & Control Letters in 2016"

TL;DR: Two novel integral inequalities based on the combination of Wirtinger-based inequality and reciprocally convex lemma can provide smaller bounding gap without requiring any extra slack matrix in linear systems with a time-varying delay.

TL;DR: Two novel distributed controllers are proposed with which the convergence time of the tracking errors is globally bounded for any initial condition of the agents.

TL;DR: In this article, the authors study the asymptotic convergence properties of the primal-dual dynamics designed for solving constrained concave optimization problems using classical notions from stability analysis.

TL;DR: Through rigorous analysis, it is shown that under this new AILC scheme, uniform convergence of agents output tracking error over the iteration domain is guaranteed.

TL;DR: Based on an ISS-Lyapunov function analysis, a characterization of the maximal percentage of time that feedback information can be lost without resulting in instability of the system is provided.

TL;DR: This paper discusses generalized controllers for distance-based rigid formation shape stabilization and aims to provide a unified approach for the convergence analysis by proving the local exponential stability for rigid formation systems when using a general form of shape controllers with certain properties.

TL;DR: Under appropriate controllability assumptions, several equivalence statements involving strict dissipativity and so called turnpike-like behavior in optimal control are provided.

TL;DR: It is shown that a nonlinear locally uniformly asymptotically stable infinite-dimensional system is automatically locally input-to-state stable (LISS) provided the nonlinearity possesses some sort of uniform continuity with respect to external inputs.

TL;DR: In this paper, the observability of Boolean control networks is investigated and it is proved that a Boolean control network is observable, if and only if, the last column of U ∗, Col r + 1 (U ∗ ) = 1 r.

TL;DR: Using Lyapunov-based approach, this work proves the asymptotic stabilization of the closed-loop system and shows that there exists a minimum inter-sampling time for control inputs and for outputs.

TL;DR: Based on the augmented Lagrange method, a distributed primal-dual algorithm with a projection operation included is proposed in this paper, where the local estimates derived at all agents asymptotically reach a consensus at an optimal solution.

TL;DR: A novel technical lemma is proposed for the strict convergence analysis in pointwise sense for discrete-time affine nonlinear systems with randomly iteration varying lengths.

TL;DR: A new tuning function control scheme which is designed on the basis of a novel decomposition of hysteresis quantizer ensures the global boundedness of all closed-loop signals and the asymptotic convergence of tracking error to zero and shows that the transient performance can also be improved with the proposed scheme.

TL;DR: A new type of learning controller by considering the input sharing among agents, which includes the traditional ILC strategy as a special case is developed and extended to multi-agent systems under iteration-varying graph.

TL;DR: Using average dwell time and Lyapunov-like function, sufficient conditions are established for stochastic input-to-state stability of the whole system and the stabilizing controller design approach is proposed for switched Stochastic linear systems.

TL;DR: This paper characterizes the effectiveness of a hybrid event-time driven consensus protocol in different asynchronous scheduling schemes of event detection in terms of interaction topology, asynchronous matrix, and time delays and has robustness against interaction/event-detection time delays.

TL;DR: An effective method for designing the appropriate consensus controller gain matrices is developed by utilizing the Lyapunov–Krasovskii approach and the bounded consensus condition with the estimate of the tracking error bound is derived.

TL;DR: In this paper, the authors considered a vibrating string that is fixed at one end with Neumann control action at the other end and provided an explicit solution of the optimal control problem, showing that if the weight of the tracking term is positive, then the control action is concentrated at the beginning and at the end of the time interval and in between it decays exponentially.

TL;DR: A distributed adaptive nonlinear control law is constructed using the relative state information between neighboring agents, which achieves leader-following consensus for any directed communication graph that contains a spanning tree with the root node being the leader agent.

TL;DR: A pinning scheme to pin a part of agents is designed and conditions under which the network reaches bipartite synchronization for any initial conditions and arbitrary switching signals are obtained.

TL;DR: A delay feedback controller is designed in the drift part so that the controlled system is mean-square exponentially stable and the stabilization criteria are derived in terms of linear matrix inequalities.

TL;DR: A new diffeomorphic matching algorithm is proposed and used to learn nonlinear dynamical systems with the guarantee that the learned systems have global asymptotic stability.

TL;DR: The proposed methods ensure bounded control torques a priori and, in particular, include several existing attitude controllers as special cases.

TL;DR: It is shown that for a large class of time-varying networks, the proposed algorithm enables each agent to recursively update its own state by only using its neighbors’ states such that all x i ( t ) converge exponentially fast to a specific part of x ∗ of interest to agent i .

TL;DR: A data-driven realization for systems with delay, which generalizes the Loewner framework is presented, obtained with low computational cost directly from measured data of the transfer function.

TL;DR: Based on the output information among the agents, distributed adaptive consensus tracking protocols together with two observers, consisting of a local observer and an adaptive estimator, are designed to guarantee that all the signals in the closed-loop dynamics are uniformly ultimately bounded and the tracking errors converge to a small neighborhood around the origin.

TL;DR: By constructing a Liapunov–Krasovskii functional related to the distributed kernels, sufficient conditions for the existence of a state feedback controller which stabilizes the uncertain distributed delay systems with dissipativity constraints are given in terms of linear matrix inequalities (LMIs).

TL;DR: The present paper aims at showing that the proposed set of sufficient stability conditions can be arranged into a bidirectional hierarchy of LMIs establishing a rigorous theoretical basis for comparison of conservatism of the investigated methods.

TL;DR: This article gives the exact set of necessary conditions for a maximum hands-off optimal control problem using an L 0 -norm, and also provides sufficient conditions for the optimality of such controls.

TL;DR: This paper considers nonlinear repetitive processes using a dissipative setting and develops a stabilizing control law with the required conditions expressed in terms of vector storage functions, which is then extended to stabilization plus disturbance attenuation.