Showing papers in "European Journal of Control in 2001"

TL;DR: Research on polytopic methods in constrained control is shown to be relevant to model predictive control, notably in the construction of domains of attraction and tracking domains of attractions, but also to a wide range of alternative methods for achieving constrained control.

TL;DR: A method of least squares support vector machines (LS-SVM), which has been extended to recurrent models and use in optimal control problems, is discussed and it is explained how robust nonlinear estimation and sparse approximation can be done by means of this kernel based technique.

TL;DR: Various ways are discussed, and tested, to obtain a more realistic limiting model, with uncertainty, that should reflect the distance to the true possibly nonlinear, time-varying system, and also form a reliable basis for robust LTI control design.

TL;DR: The purpose of this work is to show the real need to motivate theoretical research in nonlinear digital control not only for solving control problems which are specific to the context, but also for giving the intuition of new control methodologies.

TL;DR: The paper provides many powerful examples of the use of SC methods for achieving good detection and isolation of faults in the presence of uncertain plant behaviour, together with their practical value for fault diagnosis of real process systems.

TL;DR: This paper discusses various issues arising from fundamental questions about how “ information” interact with control of a system, in particular feedback control, and what is the value of “information” in achieving performance objectives for the system through the exercise of control.

TL;DR: It is argued that two types of definitions have to be distinguished: intrinsic definitions capture the signature of the fault on the system and performance-based definitions involve indexes of performance of fault detection algorithms.

TL;DR: The proposed control design uses the motor torque rather than collective pitch as the principal control input and takes advantage of its reduced sensitivity to aerodynamics effects and structural properties to develop a parametric adaptive control algorithm that estimates the principal aerodynamic effects on-line.

TL;DR: An overview of the subject of regularity in nonlinear control theory is given, in contexts as various as necessary conditions for optimal control, the existence of Lyapunov functions, and the construction of stabilizing feedbacks.

TL;DR: In this article, the problem of momentum control by means of magnetic actuators is analyzed and the classical, usually adopted solution, is compared with an approach based on periodic LQ and H ∞ control.

TL;DR: A reachability analysis algorithm is developed which combines forward reach set computation and feasibility analysis of trajectories by linear and mixed-integer linear programming for MLD models.

TL;DR: This paper addresses the control of linear systems with input saturations with two approaches based on ensuring that the controller never saturates: the obtained controller is linear time invariant (LTI), and ensuring absolute stability against the saturations.

TL;DR: A laboratory batch process is presented as an example for case studies in the verification of hybrid systems and a particular sub-problem is derived from the original formulation which makes it necessary to consider the continuous plant dynamics in more detail.

TL;DR: In this paper, a short review on the development of internal combustion engines is discussed, and the engine models are then used for the optimization of static and dynamic engine control, using a multi-objective performance criterion for fuel consumption and emissions.

TL;DR: This paper provides an overview of three control projects designed at the Underwater Systems and Technology Laboratory, and discusses the new challenges from the dynamic optimization viewpoint.

TL;DR: The problem of estimating the state and the input of a periodic continuous-time system by means of Linear Matrix Inequality (LMI) techniques is dealt with.

TL;DR: In this paper, it is proposed to apply Fuzzy Nonlinear Adaptive Internal Model Control (FNAIMC) for dealing with stable nonlinear systems by including a Takagi-Sugeno fuzzy model of the plant within the control structure.

TL;DR: It is shown that truncation of the states corresponding to the lowest frequency weighted Hankel singular values does not always yield the lowest approximation error and it is explained that this is due to cross-terms that appear in the frequency weighted error bound and make the discussion on stability of the reduced order model more complex.

TL;DR: A property from statistical learning theory known as uniform convergence of empirical means (UCEM) plays an important role in allowing us to construct efficient randomized algorithms for a wide variety of controller synthesis problems, and whenever the UCEM property holds, there exists an efficient (i.e., polynomial-time) randomized algorithm.

TL;DR: It is shown how a correct design of the control program can be obtained in an incremental manner using a real-time logical formalism using the premise of an implication whose conclusion represents the required behaviour of the plant.

TL;DR: It is shown that the network level implementation of the explicit rate congestion control algorithm leads to a “hybrid” control system, whose analysis for stability presents challenges in a control context.

TL;DR: In this paper, a smooth control Lyapunov function for the planar vertical take-off and landing (PVTOL) aircraft is proposed, its construction relies on the nonlinear stabilization technique called forwarding.

TL;DR: This work thoroughly examines the experimental batch plant in its two major operation modes: a normal operation mode and a failure operation mode, using discrete condition/event system as well as timed automata for the specification and the model checking tools SMV, Kronos and HyTech for verification.

TL;DR: This paper shows that under general assumptions all solutions of the closed loop system are asymptotic to the set of equilibria E as t tends to infinity, and considers the question of robustness of the above feedback law.

TL;DR: In this paper, an adaptive controller is designed for this general class of processes so that the external substrate can be regulated by the dilution rate into a prespecified arbitrarily small neighbourhood of a constant setpoint reference.

TL;DR: A computer-aided methodology to auto- matically generate time optimal production schemes for chemical batch plants operating in multi-batch mode is proposed and turned out to be more efficient than the previously used handwritten ones.

TL;DR: The problem of controlling a plasma wind tunnel, to simulate the re-entry conditions of space vehicles by reproducing desired profiles of pressure and temperature on a test model, is considered and a novel technique recently developed, which takes into account the information on the rate of variation of the parameters, is used in the synthesis of the controller.

TL;DR: A new symbolic, computer algebra based approach to hybrid systems that was able to detect design constraints on control systems that other methods fail to detect and perform the verification of design properties.

TL;DR: Three key problems in industrial plant optimization are the compression of data from the automation system, the estimation of values which are not directly available, and the determination of process parameters leading to minimum production cost for given quality.