Showing papers in "Automatica in 2003"

TL;DR: Some open problems are discussed: the constructive use of the delayed inputs, the digital implementation of distributed delays, the control via the delay, and the handling of information related to the delay value.

TL;DR: This paper is concerned with global asymptotic stabilization of continuous-time systems subject to quantization and involves merging tools from Lyapunov stability, hybrid systems, and input-to-state stability.

TL;DR: It is shown that the regulators, the fuzzy observers and the H"~ controller designs based on new observers for the T-S fuzzy systems are very practical and efficient.

TL;DR: The properties of the polyhedral partition of the state space induced by the multi-parametric piecewise affine solution are studied, and a new mp-QP solver is proposed that adopts a different exploration strategy for subdividing the parameter space, avoiding unnecessary partitioning and QP problem solving.

TL;DR: An algorithm is provided that exploits the combined use of clustering, linear identification, and pattern recognition techniques to identify both the affine submodels and the polyhedral partition of the domain on which each submodel is valid avoiding gridding procedures.

TL;DR: In this paper the control of linear plants, where the sensor is connected to a linear controller/actuator via a network through a network is addressed, both, state and output feedback are considered and results are derived for both continuous and discrete plants.

TL;DR: The basic idea of this study is to use an optimal residual generator as the reference residual model of the robust fault detection filter design for uncertain LTI systems with modelling errors and, based on it, to formulate the robust Fault Detection filter design as an H"~ model-matching problem.

TL;DR: This survey paper considers linear structured systems in state space form, where a linear system is structured when each entry of its matrices, like A,B,C and D, is either a fixed zero or a free parameter.

TL;DR: Stochastic optimal controllers of networked control systems whose network-induced delay is longer than a sampling period are designed for the two cases of the system with either full state information or partial state information.

TL;DR: The concept of an asymptotically stable invariant ellipsoid is used to develop a robust constrained MPC algorithm which gives a sequence of explicit control laws corresponding to a sequences of asymPToticallystable invariantEllipsoids constructed off-line one within another in state space.

TL;DR: In this paper, the exponential stabilisability of finite-dimensional LTI plants with limited feedback data rates is investigated by placing a probability density on the initial state and casting the objective in terms of state moments, the problem is shown to be similar to one in asymptotic quantisation.

TL;DR: An algorithm for generating a binary search tree that allows efficient computation of piecewise affine (PWA) functions defined on a polyhedral partition is presented, useful for PWA control approaches, such as explicit model predictive control, as it allows the controller to be implemented online with small computational effort.

TL;DR: It is shown that these functionals admit a quadratic low bound and are used to derive robust stability conditions in linear time-delay systems.

TL;DR: It is shown that the closed-loop dynamics under this nonlinear predictive controller explicitly depend on design parameters (prediction time and control order) and the design of an optimal generalised predictive controller to achieve desired time-domain specifications for nonlinear systems can be performed by looking up tables.

TL;DR: This article deduces stabilizing control laws for a single horizontal reach without friction for a general class of hyperbolic systems which can describe canal networks with more general topologies by means of a Riemann invariants approach.

TL;DR: The proposed adaptive extremum seeking controller is ''inverse optimal'' in the sense that it minimizes a meaningful cost function that incorporates penalty on both the performance error and control action.

TL;DR: A systematic networked control method designed specifically to handle the constraints of the networked realization of a linear time invariant control system is studied.

TL;DR: In this paper, a new hysteresis-based switching logic is proposed to control a linear system with unknown parameters ranging over a continuum by means of switching among a finite family of candidate controllers.

TL;DR: Simulation results verify the effectiveness of adaptive actuator failure compensation for desired system performance.

TL;DR: Two reduced-order input estimators built upon a state functional observer are proposed, the first is an extension of a state/input estimator, while the second is based on adaptive observer design technique.

TL;DR: It will be shown that the identifiability test procedures based on differential algebra may fail for systems which are started at specific initial conditions and that this problem is strictly related to the accessibility of the system from the given initial conditions.

TL;DR: In this paper, adaptive state feedback and output feedback control strategies are presented for a class of nonholonomic systems in chained form with drift nonlinearity and parametric uncertainties, and both control laws are developed using state scaling and backstepping techniques.

TL;DR: It is shown, in particular, that for a fixed value of the proportional term (K"p) the resulting stabilizing PID compensators form a finite set of disjoint polyhedral sets in the parameter space.

TL;DR: It is shown that computing the coarsest bisimulation, which results in maximum complexity reduction, corresponds to computing the maximal controlled or reachability invariant subspace inside the kernel of the observations map.

TL;DR: The proposed adaptive controller and parameter estimator employ coupling control by feeding back position errors and differential position errors, and have been realized to guarantee asymptotic convergence to zero of both position and synchronization errors.

TL;DR: The main strategy adopted in this paper is to construct an error system, which describes the dynamics of the tracking error, by a passive port-controlled Hamiltonian system, via generalized canonical transformations and passivity-based control.

TL;DR: The robustness of the closed loop system with respect to sufficiently small additive unmodelled noise is characterized in terms of input-to-state stability.

TL;DR: Both full state and output feedback adaptive neural network (NN) controllers are presented for a class of strict-feedback discrete-time nonlinear systems and the closed-loop systems for both control schemes are proven to be semi-globally uniformly ultimately bounded.

TL;DR: This paper solves the tracking and disturbance rejection problem for infinite-dimensional linear systems, with reference and disturbance signals that are finite superpositions of sinusoids, and identifies a very simple stabilizing controller which does not require low gain.

TL;DR: Stability of discrete-time linear systems subject to actuator saturation is analyzed using a saturation-dependent Lyapunov function that leads to less conservative estimate of the domain of attraction, which is based on the solution of an LMI optimization problem.