Showing papers in "Automatica in 2005"

TL;DR: This paper provides a novel solution to the problem of robust model predictive control of constrained, linear, discrete-time systems in the presence of bounded disturbances by solving the optimal control problem that is solved online.

TL;DR: A new analysis method for H"~ performance of NCSs is provided by introducing some slack matrix variables and employing the information of the lower bound of the network-induced delay.

TL;DR: It is shown that the constrained optimal control law has the largest region of asymptotic stability (RAS) and the result is a nearly optimal constrained state feedback controller that has been tuned a priori off-line.

TL;DR: It is proved that global finite-time stabilizability of uncertain nonlinear systems that are dominated by a lower-triangular system can be achieved by Holder continuous state feedback.

TL;DR: It is shown that a general uncertain single-input-single-output regulation problem is solvable only by means of discontinuous control laws, giving rise to the so-called high-order sliding modes, and homogeneity features significantly simplify the design and investigation of a new family of high- order sliding-mode controllers.

TL;DR: This paper provides a concise and timely survey on analysis and synthesis of switchedlinear control systems, and presents the basic concepts and main properties of switched linear systems in a systematic manner.

TL;DR: This paper presents a new approach to guaranteed state estimation for non-linear discrete-time systems with a bounded description of noise and parameters with an algorithm to compute a set that contains the states consistent with the measured output and the given Noise and parameters.

TL;DR: Some new delay-dependent stability criteria are obtained and formulated in the form of linear matrix inequalities (LMIs) and improve the estimate of the stability limit over some existing result.

TL;DR: A new integral inequality for quadratic terms is first established and used to obtain a new state- and input-delay-dependent criterion that ensures the stability of the closed-loop system with a memoryless state feedback controller.

TL;DR: A new criterion for testing the robust stability of Markovian jump linear systems with uncertain switching probabilities is established in terms of linear matrix inequalities, and a sufficient condition is proposed for the design of robust state-feedback controllers.

TL;DR: An adaptive recursive design technique is developed for a parametrically uncertain nonlinear plant describing the dynamics of a ship and an update law is constructed that bridges the geometric design with the dynamic task.

TL;DR: This paper is concerned with sliding mode control for uncertain stochastic systems with time-varying delay, and an integral sliding surface is first constructed, and a sufficient condition is derived to guarantee the global Stochastic stability of the stoChastic dynamics in the specified switching surface for all admissible uncertainties.

TL;DR: It is argued that a guiding principle should be to model as well as possible before any model or controller simplifications are made as this ensures the best statistical accuracy.

TL;DR: Two identification algorithms are developed for Hammerstein nonlinear systems with memoryless nonlinear blocks and linear dynamical blocks described by ARMAX/CARMA models to replace unmeasurable noise terms in the information vectors by their estimates, and to compute the noise estimates based on the obtained parameter estimates.

TL;DR: It is shown that the set of trajectories of the switching system is dense in the set that is embedded into a larger family of systems and the optimization problem is formulated for the latter, and the relationship between the two sets of trajectory motivates the shift of focus from the original problem to the more general one.

TL;DR: The aim of the paper is to give basic theoretical results on the structure of the optimal state-feedback solution and of the value function and to describe how the state- feedback optimal control law can be constructed by combining multiparametric programming and dynamic programming.

TL;DR: In this article, the authors investigate the relationship between optimal control design and control allocation when the performance indexes are quadratic in the control input and show that for a particular class of nonlinear systems, they give exactly the same design freedom in distributing the control effort among the actuators.

TL;DR: A hierarchical gradient iterative algorithm and a hierarchical stochastic gradient algorithm are proposed and it is proved that the parameter estimation errors given by the algorithms converge to zero for any initial values under persistent excitation.

TL;DR: The lowest level of sensitivity of system outputs to system inputs is defined as an H"- index, defined in terms of matrix equalities and inequalities, as a dual of the Bounded Real Lemma.

TL;DR: In this article, a delay-dependent bounded real lemma (BRL) is established without using model transformation and bounding techniques on the related cross product terms, and a delaydependent condition for the existence of a state feedback controller, which ensures asymptotic stability and a prescribed H"~ performance level of the closed-loop systems for all admissible uncertainties, is proposed in terms of a linear matrix inequality (LMI).

TL;DR: A new control design method is proposed by introducing some relaxation matrices and turning parameters, which can be chosen properly to lead to a less conservative result.

TL;DR: The theoretical and empirical evidence presented here establishes additional attractive properties such as numerical robustness, avoidance of difficult parametrization choices, the ability to naturally and easily estimate non-zero initial conditions, and moderate computational cost.

TL;DR: In this paper, robust adaptive control for a class of parametric-strict-feedback nonlinear systems with unknown time delays is presented, and a systematic backstepping design method is proposed to guarantee global uniform ultimate boundedness of all the signals.

TL;DR: A proportional-derivative control with on-line gravity compensation is proposed for regulation tasks of robot manipulators with elastic joints and it is proved via a Lyapunov argument that the control law globally asymptotically stabilizes the desired robot configuration.

TL;DR: It is proved that the optimal fusion estimators under three weighted fusion rules are locally optimal, but are globally suboptimal.

TL;DR: A Lyapunov-based approach for trajectory tracking of the Schrodinger equation, when the reference trajectory is an eigenstate, a modification based on adiabatic invariance is proposed, illustrating the simplicity and also the interest for trajectory generation.

TL;DR: This work studies statistical consistency of two recently proposed subspace identification algorithms for closed-loop systems and shows that both algorithms are biased due to an unavoidable mishandling of initial conditions which occurs in closed- loop identification.

TL;DR: A direct adaptive control scheme based on the internal model principle and the use of the Youla-Kucera parametrization is proposed for feedback adaptive control of active vibration systems in the presence of time varying unknown narrow band disturbances.

TL;DR: A two-step design procedure is proposed to derive non-conservative robust FDI filters for LTI uncertain systems under feedback control and the solution is based on the generalized structured singular value.

TL;DR: A unique procedure is presented, for a complete stability robustness of the third-order LTI multiple time-delay systems (LTI-MTDS), with a novel framework called ''the cluster treatment of characteristic roots, (CTCR)''.