Showing papers in "Automatica in 1999"

TL;DR: A predictive control scheme is proposed which is able to stabilize MLD systems on desired reference trajectories while fulfilling operating constraints, and possibly take into account previous qualitative knowledge in the form of heuristic rules.

TL;DR: An overview of the literature concerning positively invariant sets and their application to the analysis and synthesis of control systems is provided.

TL;DR: A new projection approach to closed-loop identification with the advantage of allowing approximation of the open-loop dynamics in a given, and user-chosen frequency domain norm, even in the case of an unknown, nonlinear regulator.

TL;DR: This work presents a technique, based on the principles of optimal control, for determining the class of least restrictive controllers that satisfies the most important objective and shows how the proposed synthesis technique simplifies to well-known results from supervisory control and pursuit evasion games when restricted to purely discrete and purely continuous systems respectively.

TL;DR: By appropriately marking packets at overloaded resources and by charging a fixed small amount for each mark received, end-nodes are provided with the necessary information and the correct incentive to use the network efficiently.

TL;DR: In this paper a nonlinear observer is derived and is proven to be passive and GES, and the number of tuning parameters is reduced to a minimum by using passivity theory, which results in a simple and intuitive tuning procedure.

TL;DR: Methods of robust stabilization and robust H"~ control which are dependent on the size of the delay and are based on the solution of linear matrix inequalities are developed.

TL;DR: A convex optimization problem with LMI constraints is formulated to design the optimal guaranteed cost controller which minimizes the guaranteed cost of the closed-loop uncertain system.

TL;DR: A general framework for the control of Lagrangian systems with as many inputs as degrees of freedom is presented, and particular insight is provided into both aerospace and underwater applications where the configuration manifold is a Lie group.

TL;DR: The notion of a (positively) invariant set is extended to hybrid systems and sufficient conditions for invariance are presented and results concerning asymptotic stability and exponential convergence to the origin are derived.

TL;DR: This paper presents necessary and sufficient conditions to test for quadratic stabilizability and for robust stabilizing control laws for switched controller systems and algorithms which can be used to construct appropriately stabilized control laws.

TL;DR: In this article, the authors use the Hamiltonian formalism to derive mathematical models that describe the behavior of a large class of switching power converters, including the ''Boost'' and ''Buck'' converters.

TL;DR: A novel combined backstepping and small-gain approach is presented to the global adaptive output feedback control of a class of uncertain nonlinear systems with unmodeled dynamics and can be made robust against dynamic uncertainties by means of recent nonlinear small- gain results.

TL;DR: It is proved that basic questions related to their stability and controllability are either undecidable or computationally intractable (NP-hard) in nonlinear systems.

TL;DR: Relations for PI and PID controller tuning based on a generalization of the relations after symmetrical optimum method, introduced by Kessler, for a class of systems specific to the field of electrical drives.

TL;DR: In this article, the authors proposed a control law for high-speed data networks that guarantees stability of network queues and full utilization of network links in a general network topology and traffic scenario during both transient and steady state condition.

TL;DR: Although spread-spectrum communications has been traditionally viewed as a physical-layer subject, it is argued that by suitable abstraction, many control and optimization problems with interesting structure can be formulated at the network layer.

TL;DR: It is shown that three-axis control can be achieved with magnetorquers as sole actuators in a low Earth near polar orbit with time-varying, nonlinear system point of view and suggests controllers for three- axis stabilization.

TL;DR: A robust control law is derived to ensure the existence of a sliding mode and to overcome the effects of the delay and uncertainty in the sliding mode of uncertain linear input-delay systems with nonlinear parametric perturbations.

TL;DR: It is shown that a number of previously reported attempts to analyze AWBT stability, using seemingly diverse techniques such as the Popov, circle and off-axis circle criteria, the optimally scaled small-gain theorem and describing functions can all be generalized within the framework of this paper.

TL;DR: The problem is to design state feedback controllers such that the resulting closed-loop system is regular, causal and stable, and conditions for the existence of solutions to this problem are obtained.

TL;DR: The forced dynamics of a microcantilever-sample system is analyzed using Melnikov method, which reveals the region in the space of physical parameters where chaotic motion is possible and it is possible to design controllers that will remove the possibility of chaos.

TL;DR: It is shown that there exists a solution for the convex programming problem if and only if there exists the mean-square stabilizing solution for a set of coupled algebraic Riccati equations.

TL;DR: It is shown that with arbitrary initial conditions, the reaching time and tracking error in the approaching phase can be significantly reduced and chattering can be reduced by fuzzy tuning of the controller parameters.

TL;DR: The sufficient condition for the existence of controller and H^~ state feedback controller design methods are presented and the obtained sufficient condition can be rewritten as an LMI form in terms of transformed variables.

TL;DR: A direct adaptive controller is developed based on multilayer neural networks (MNNs) for a class of nonlinear systems, which avoids the possible singularity problem of the controller usually met in adaptive control design.

TL;DR: This work extends repetitive control theory to plants with several outputs, of which only some have to track reference signals, and introduces a correction to the amount of delay used in the internal model to lead to improvement in performance.

TL;DR: It is proved that if the switch uses virtual output queueing and has an internal speedup of just four, it is possible for it to behave identically to an output-queued switch, regardless of the nature of the arriving traffic, and extended to show that with a small modification, the MUCFA algorithm enables perfect emulation of a variety of output scheduling policies, including strict priorities and weighted fair-queueing.

TL;DR: A general comparison theory is developed for the class of hybrid dynamical systems considered herein, making use of stability preserving mappings, and it is shown how these results can be applied to establish some of the Principal Lyapunov Stability Theorems.