Showing papers in "Systems & Control Letters in 2012"

TL;DR: This paper proposes two classes of consensus protocols with and without velocity measurements, and proves that the protocol with velocity measurements can solve the finite-time consensus under a strongly connected graph and leader-following network, respectively.

TL;DR: By selecting an attitude error function carefully, it is shown that the proposed control system guarantees a desirable tracking performance uniformly for rotational maneuvers involving a large initial attitude error.

TL;DR: This paper further study the same problem by a distributed measurement output feedback control under certain detectability assumptions, and contains some existing results on the multi-agent system control as special cases.

TL;DR: A new functional-based approach is developed for the stability analysis of linear impulsive systems, which introduces looped-functionals, considers non-monotonic Lyapunov functions and leads to LMIs conditions devoid of exponential terms.

TL;DR: A distributed D-type iterative learning scheme is developed for the multi-agent system with switching topology, whose switching time and sequence are allowed to be varied at different iterations according to the actual trajectories of agents.

TL;DR: A time-delay approach is developed by presenting the closed-loop system as a switched system with multiple and ordered time-varying delays and, for the first time, allow treating the case of non-small network-induced delay, which can be greater than the sampling interval.

TL;DR: By introducing a leader into the multi-agent team, a pinning control strategy is designed for a part of agents such that all the agents can reach a consensus with the leader asymptotically.

TL;DR: The necessary and sufficient conditions for the existence and convergence of the proposed observer are given and proved, and a systemic design approach is presented via the linear matrix inequalities formulation.

TL;DR: The main contribution is to provide some mathematical artifacts on the Lyapunov function to obtain simple and workable stability conditions, furthermore it is shown how to obtain LMI conditions to ensure asymptotic convergence.

TL;DR: The proposed control algorithms are shown to achieve velocity matching, connectivity maintenance and collision avoidance and the sum of the steady-state distances between the followers and the convex hull formed by the leaders is shown to be bounded and the bound is explicitly given.

TL;DR: The main objective of this paper aims to characterize the virtue that leaders should have from the perspective of algebraic and graphical conditions and shows for path topologies that controllability completely depends on the leaders’ location.

TL;DR: By combining the asynchronous switching, an improved stabilization approach is given, and existence conditions of the controllers associated with the corresponding ADT switching are formulated in terms of a set of linear matrix inequalities.

TL;DR: In this paper, the finite-time output consensus problem of multi-agent systems is considered by using the iterative learning control (ILC) approach, and two classes of distributed protocols are constructed from the two-dimensional system point of view, and are termed as iterativelearning protocols.

TL;DR: It is shown that arbitrary desired attitude tracking and synchronization with respect to a given reference can be attained and this work addresses the adaptive attitude synchronization with unknown parameters and coupling time delay in a unified theoretical framework.

TL;DR: A unified algorithm is presented for agents described by both discrete-time and continuous-time models through using the iterative learning approach to achieve the formation control for multi-agent systems.

TL;DR: This paper deals with the problem of stability and stabilization of sampled-data systems under asynchronous samplings and actuators saturation with the use of a novel class of Lyapunov functionals whose derivative is negative along the trajectories of the continuous-time model of the sampled data system.

TL;DR: A distinctive feature of this work is to solve synchronization problem in undirected networks even if each oscillator intermittently exchanges the velocity information with its neighbors in terms of sampled-data setting only at discrete moments.

TL;DR: This paper converts a Boolean network with impulsive effects into impulsive discrete-time dynamics using semi-tensor product of matrices to investigate the stability and stabilization of Boolean networks withImpulsive effects.

TL;DR: A systematic robust static state-feedback synthesis method is proposed in an LMI framework for systems with strictly negative-imaginary uncertainty (e.g. unmodeled spill-over dynamics in a lightly damped flexible structure) assuming all states are available for state feedback.

TL;DR: In this paper, the probability-guaranteed H∞ finite-horizon filtering problem is investigated for a class of nonlinear time-varying systems with uncertain parameters and sensor saturations by using the difference linear matrix inequalities (DLMIs) approach.

TL;DR: Effect of input-output time delay on the range of allowable controller parameters is investigated and small gain type of argument used earlier for finite dimensional plants is used.

TL;DR: New sufficient conditions for input-to-state stability and integral ISS of nonlinear systems are discovered and a nonlinear time-varying system satisfying them has uniform asymptotic stability.

TL;DR: A distributed dual averaging method for solving the constrained multi-agent optimization problem, in which multiple agents try to cooperatively optimize the sum of their local convex objective functions subject to a global convex constraint set over a network, is proposed.

TL;DR: A novel off-line model predictive control strategy for linear parameter varying systems is presented, where the on-line computational burdens are reduced by pre-computing off- line the sequences of state feedback gains corresponding to the sequence of nested ellipsoids.

TL;DR: This paper proposes a procedure to design robust ICs for port-Hamiltonian models, that characterize the behavior of a large class of physical systems, and addresses problems of regulation of passive outputs of nonlinear systems.

TL;DR: This paper involves a numerical resolution of a reformulation of the constrained optimal control problem into an unconstrained calculus of variations problem in which the state space constraints and the dynamic equations are treated by means of special derivative multipliers.

TL;DR: By using the Cesari property, the Fillippove theorem and extending the earlier work on fractional evolution equations, the existence of feasible pairs is proved and an existence result of optimal control pairs for the Lagrange problem is presented.

TL;DR: The optimal control modification is shown to improve robustness of the standard MRAC without significantly compromising the tracking performance and the optimality condition is used to derive the modification based on the Pontryagin’s Minimum Principle.

TL;DR: In this paper, a virtual force and pseudo-leader mechanism is proposed for choosing pseudo-leaders in a multi-agent group, which can be applied to an unconnected or switching neighbor graph.

TL;DR: Sufficient conditions for the existence and stability of these observers are given and the obtained results extend those given in [8] for the standard systems.