Showing papers in "Systems & Control Letters in 2017"

TL;DR: An integral reinforcement learning approach is used to develop an actor/critic approximator structure to estimate the parameters of the Q-function online while also guaranteeing closed-loop asymptotic stability and convergence to the optimal solution.

TL;DR: The proposed algorithm is extended to solve the adaptive finite-time bipartite consensus tracking problem for leader–follower case by designing distributed finite- time estimator.

TL;DR: By using the method of multiple Lyapunov functions, this paper provides sufficient conditions for stochastic asymptotic stability of Markov switched Stochastic differential equations with both stable and unstable subsystems via the inequality based on the multiple Lyapsinov functions and the stationary distribution ofMarkovian switching process.

TL;DR: It is shown that these control laws together achieve global optimal consensus for the multi-agent system, that is, all agents reach consensus at a state that minimizes the sum of the objective functions of all agents as long as the communication topology is strongly connected and weight-balanced.

TL;DR: A simple example of a continuous dynamical system with a provably discontinuous optimal value function that, as a consequence of the main result of this work, is inherently robust, is the first such system reported in the literature.

TL;DR: Two distributed control strategies respectively in Cartesian coordinates and polar coordinates are proposed using backstepping techniques, in which some virtual signals are introduced to facilitate the control design.

TL;DR: Under the assumption that the inverse dynamics of the uncertain systems are bounded-input-bounded-state stable, a constant high gain ESO based output feedback is constructed to guarantee that the state is bounded and the output tracks practically a given reference signal.

TL;DR: A novel distributed continuous-time algorithm that solves the problem over strongly connected and weight-balanced digraph network topologies when the local cost functions are strongly convex and it is shown that if the network is an undirected connected graph, it can guarantee stability and convergence of the algorithm for problems involving local convex functions.

TL;DR: This work presents three data-driven approaches based on the notion of control as interconnection and shows how to determine a controller directly from data in the case where the control and to-be-controlled variables coincide.

TL;DR: This paper explores the numerical stability of linear filtering technique proposed recently under the MCC approach and develops the maximum correntropy criterion Kalman filter (MCC-KF), which possesses a better estimation quality with the reduced computational cost compared with the previously proposed MCC-F variant.

TL;DR: A stability analysis result for interconnected systems with positive feedback is presented while one of the systems is negative- imaginary and the other one is output strictly negative-imaginary, contrary to the existing results.

TL;DR: Two novel improved iterative learning control schemes for systems with randomly varying trial lengths are proposed, equipped with a searching mechanism to collect useful but avoid redundant past tracking information, which could expedite the learning speed.

TL;DR: It is interesting to find that the Edge Theorem, which was initially proposed for integer order system, cannot be directly extended to test the stability of fractional order system with general interval uncertainties.

TL;DR: It is shown that under the proposed control scheme, convergence of the system output tracking error into a small set around zero is guaranteed in the sense of mean quartic value.

TL;DR: It is proved that a homogeneous stochastic nonlinear system is finite-time stable if its coefficients have negative degrees of homogeneity, and there exists a sufficiently smooth and homogeneous Lyapunov function such that the infinitesimal generator of the stochastics system acting on it is negative definite.

TL;DR: It is shown that the emulation design based on the recently proposed continuous-time, boundary feedback, designed by means of backstepping, guarantees closed-loop exponential stability, provided that the sampling period is sufficiently small.

TL;DR: Several Razumikhin-type theorems for uniform stability and global exponential stability are obtained and the significance and novelty of the results lie in that the criteria for stability of impulsive time-delay systems admit the existence of persistent impulses and unbounded time-varying delays.

TL;DR: A nonlinear distributed algorithm is adopted to solve the constrained consensus problem for multi-agent systems to use local information to make all agents reach a consensus in a given convex set while satisfying a desired H ∞ performance index in the presence of external disturbances.

TL;DR: Distributed adaptive nonlinear protocol is proposed based only on the relative state information, under which the states of the followers converge to the dynamic convex hull spanned by those of the leaders.

TL;DR: This paper analyzes closed-loop stability and quantifies the robustness “gap” between this architecture and the co-located one, and considers control architectures that approximate co-location while enable remote implementation (networked sensor and actuator channels).

TL;DR: In this article, the authors consider the problem of allocating a fixed amount of resource among nodes in a network when each node suffers a cost which is a convex function of the amount of resources allocated to it.

TL;DR: The Lyapunov stability results on the exponential stability in p th( p ≥ 1 ) moment and the almost sure exponential stability for neutral stochastic delay systems with Markovian switching are given when the time-varying delay is a bounded measurable function and the coefficients in the monotonicity condition are time varying.

TL;DR: Finite-dimensional dynamical control systems described by linear fractional-order state equations with multiple delays in control with new necessary and sufficient conditions for constrained relative controllability are established and proved.

TL;DR: The maximal monotone mapping approach to saddle-point dynamics is revisited, one convergence result is mildly improved, and new results on the robustness of pointwise asymptotic stability of the set of saddle points are proposed.

TL;DR: The main tool used to prove the results is the Lyapunov–Razumikhin method which has proven very useful in dealing with stability problems for differential systems when the delays involved in the equations are not differentiable but only continuous.

TL;DR: New necessary conditions are established for global asymptotic stability of the zero equilibrium of the “unexcited” system of the n th order differential equation when the vector ϕ is not persistently exciting.

TL;DR: A port-Hamiltonian formulation of the one-dimensional Navier–Stokes equations for reactive flows is introduced, which ensures that a temporal change of the total energy is only due to energy flows through the boundary.

TL;DR: This work presents a practical procedure to extract the 2-D cross-sections of the KH set in the domain of the two arbitrarily selected delays and demonstrates the effectiveness of this methodology over an example case study.

TL;DR: In this article, the model reduction problem for linear time-invariant dynamical systems having nonzero (but otherwise indeterminate) initial conditions is considered and a new approach is developed that involves reducing these component responses independently and then combining the reduced responses into an aggregate reduced system response.

TL;DR: A control law is constructed that manages to adaptively stabilize a class of linear 2 × 2 hyperbolic systems of partial differential equations (PDEs) from a single boundary sensing anti-collocated with the boundary where actuation takes place by introducing a series of invertible transformations that bring the system into an observer canonical form.