Showing papers in "Automatica in 2013"

TL;DR: An alternative inequality based on the Fourier Theory, more precisely on the Wirtinger inequalities is proposed and it is shown that this resulting inequality encompasses the Jensen one and also leads to tractable LMI conditions.

TL;DR: A novel control strategy for multi-agent coordination with event-based broadcasting is presented, in which each agent decides itself when to transmit its current state to its neighbors and the local control laws are based on these sampled state measurements.

TL;DR: The objective of the present paper is to survey control allocation algorithms, motivated by the rapidly growing range of applications that have expanded from the aerospace and maritime industries, where control allocation has its roots, to automotive, mechatronics, and other industries.

TL;DR: This work shows that a network of loads and DC/AC inverters equipped with power-frequency droop controllers can be cast as a Kuramoto model of phase-coupled oscillators, and proposes a distributed integral controller based on averaging algorithms, which dynamically regulates the system frequency in the presence of a time-varying load.

TL;DR: A combinational measurement approach to event design and a new iterative event-triggered algorithm where continuous measurement of the neighbor states is avoided are proposed, which reduces the amount of communication and lowers the frequency of controller updates in practice.

TL;DR: This paper studies an event-triggered communication scheme and an H"~ control co-design method for networked control systems (NCSs) with communication delay and packet loss with a novel Lyapunov-Krasovskii functional.

TL;DR: It will be shown that the closed-loop performance realized by an observer-based controller, implemented in a conventional periodic time-triggered fashion, can be recovered arbitrarily closely by a PETC implementation, providing a justification for emulation-based design.

TL;DR: This paper considers the distributed consensus problem of multi-agent systems with general continuous-time linear dynamics for both the cases without and with a leader whose control input might be nonzero and time varying, and proposes two types of distributed adaptive dynamic consensus protocols.

TL;DR: A continuous nonsingular terminal sliding mode control approach is proposed for mismatched disturbance attenuation that exhibits the fine properties of nominal performance recovery as well as chattering alleviation.

TL;DR: An event triggering scheme is designed based on a quadratic Lyapunov function that is sampled-data and distributed in the sense that the event detector uses only neighbor information and local computation at discrete sampling instants.

TL;DR: A learning-based model predictive control scheme that provides deterministic guarantees on robustness, while statistical identification tools are used to identify richer models of the system in order to improve performance.

TL;DR: An online adaptive reinforcement learning-based solution is developed for the infinite-horizon optimal control problem for continuous-time uncertain nonlinear systems using a novel actor-critic-identifier (ACI) architecture to approximate the Hamilton-Jacobi-Bellman equation.

TL;DR: A global nonsingular terminal sliding-mode control strategy for nonlinear systems is developed and it is shown that the proposed control strategy can eliminate the singularity, while guaranteeing the finite-time reachability of the systems to the terminal slide-mode surface.

TL;DR: In this paper an adaptation methodology is developed for searching the minimum possible value of control based on evaluations of the, so-called, equivalent control by a low-pass filter based on direct measurements of the first-order low- pass filter.

TL;DR: The proposed FNTSM control laws (FNTSMCLs) by employing FNTSMS associated with adaptation provide finite-time convergence, robustness, faster, higher control precision, and they are chattering-free.

TL;DR: A numerical integration problem and a target tracking problem are utilized to demonstrate the necessity of using the high-degree cubature rules to improve the performance of the cubature Kalman filter.

TL;DR: A distributed adaptive law is proposed for each follower based on local information of neighboring agents and the leader if this follower is an informed agent and a distributed leader–follower consensus problem in multi-agent systems with unknown nonlinear dynamics is investigated.

TL;DR: The idea is to formulate the robust fault detection observer design as an H − / H ∞ problem based on nonquadratic Lyapunov functions, and a solution of the considered problem is given via a Linear Matrix Inequality ( LMI ) formulation.

TL;DR: Using a turnpike property and suitable controllability properties it is proved near optimal performance of the controller and convergence of the closed loop solution to a neighborhood of the optimal steady state for the corresponding averaged infinite horizon problem.

TL;DR: A network-based consensus control protocol under a directed graph with a new delay-dependent stability criterion for an error system is derived by constructing a novel Lyapunov–Krasovskii functional with digraph information.

TL;DR: Conditions for guaranteeing the cluster consensus control for generic linear multi-agent systems (MASs) under directed interaction topology via distributed feedback controller are presented in terms of purely the graphic topology conditions and thus are very easy to be verified.

TL;DR: This paper investigates the problem of fault estimation and fault-tolerant control against sensor failures for a class of nonlinear Ito stochastic systems with simultaneous input and output disturbances using a new descriptor sliding mode approach.

TL;DR: The goal of this note is to clarify some recent results and to propose a new design methodology based on the reformulation of the Lipschitz property using some mathematical tools, which leads to less restrictive LMI conditions.

TL;DR: By constructing collision avoidance and connectivity maintenance functions, modified consensus algorithms containing corresponding gradient terms are presented for multi-AUV systems of both cases, which guarantee collision avoidance, connectivity maintenance, velocity matching, and consensus boundedness.

TL;DR: A new class of distributed nonlinear controllers for leader-following formation control of unicycle robots without global position measurements is proposed, which is robust to position measurement errors and the linear velocities of the robots can be restricted to specific bounded ranges.

TL;DR: This paper presents a distributed containment control approach for uncertain nonlinear strict-feedback systems with multiple dynamic leaders under a directed graph topology where the leaders are neighbors of only a subset of the followers.

TL;DR: The evaluation shows that the proposed distributed optimization algorithm for mixed L"1/L"2-norm optimization based on accelerated gradient methods using dual decomposition can outperform current state-of-the-art optimization software CPLEX and MOSEK.

TL;DR: It is shown that under some mild conditions the cooperativity of an LTV system can be ensured by a static linear transformation of coordinates and the efficiency of the proposed approach is demonstrated through numerical simulations.

TL;DR: It is proved that, almost surely global finite-time stability of stochastic nonlinear systems in strict-feedback form can be guaranteed by a continuous control law.

TL;DR: A new maximum-likelihood based method for the identification of Hammerstein-Wiener model structures is developed and illustrated that addresses the blind Wiener estimation problem as a special case.