Showing papers in "IFAC Proceedings Volumes in 1989"

TL;DR: For the purposes of sliding mode simulations a definition of a discrete sliding mode is introduced, which enables the design of discrete-time control algorithms with properties similar to those in continuous time systems with sliding-mode control algorithms.

TL;DR: In this paper, the authors present an approach based on structural analysis in order to exhibit coherence models for fault detection of large scale industrial systems, where the initial knowledge upon the normal operation of the system is given by its representation under the form of a network of elementary activities, issued from its functionnal analysis.

TL;DR: In this paper, a direct adaptive regulation scheme for nonlinear systems satisfying an extended matching condition is proposed, where the usual overparametrization in parameter estimates is avoided and conditions are given, under which some of the obtained local results become global.

TL;DR: In this paper, a nonlinear sliding mode observer is used to estimate the state vector of a robot manipulator, based on the physical properties of the robot, such as energy conservation and the quadratic nature of the Coriolis and centripetal forces.

TL;DR: Techniques to consider aspects of process control during the early stages of process design are considered in this paper.

TL;DR: In this article, a survey of nonlinear scalar input and output systems with respect to controllability, observability, controller, and observer forms is presented, with a focus on nonlinear canonical (normal) forms.

TL;DR: In this paper, the authors investigate the effect of a simple change of basis in the parameter space on the behavior of a Quasi-Newton optimization algorithm used to solve a discretized version of this problem by minimum least squares.

TL;DR: In this article, a multivaribale robust controller for the boiler-turbine system is designed by using the LQG/LTR method from the known nonlinear dynamic model, a linearized model is obtained with the saturations at both control inputs and their rates and the modeling error is analyzed at various operating points.

TL;DR: An expert system is proposed which can use complicated experience of an expert for the estimation of special days because the load forecasting is not a problem modeled precisely in mathematics, but a problem requires experience and knowledge of an Expert.

TL;DR: In this article, the authors show that, while straightforward application of the linearization theory to a non-minimum phase system results in a system with a linear input-output response but unstable internal dynamics, designing a feedback control based on a minimum phase approximation to the true system with desirable properties such as bounded tracking and asymptotic stability is possible.

TL;DR: This paper describes a PID controller with reasoning capabilities, which seems technically feasible with the increased computing power that is now available in single loop controllers.

TL;DR: Sridhar and Phatak as mentioned in this paper used a Kalman filter to estimate both the relative coordinates and the earth coordinates of the objects on the ground using a sequence of images, leading to a significant reduction of search effort in the feature extraction step.

TL;DR: In this article, a fuzzy logic stabilizer for stability enhancement of power systems is presented, which is based on the condition of the generator and with the aid of two membership functions and a set of simple control rules, the stabilizing signal is determined.

TL;DR: Rules which enables a formal manipulation of the relations between variables, in agreement with the fuzzy semantics, are derived, which improves approaches to qualitative reasoning problems previously developed in Artificial Intelligence, in a way which better sticks to the semantics of the available information.

TL;DR: In this article, an overview of some of the important progress that has been made in the field of milling control is given, including the development of mathematical models that are used in the specification of practical objectives for control, and for the derivation of appropriate control strategies.

TL;DR: In this article, the appropriateness of particular control strategies for a batch operation will depend upon the wider system within which that operation has to be integrated and the role of these wider considerations in setting the agenda for the control objectives of individual batch operations.

TL;DR: In this article, a coal-gas-burned high efficiency power plant which emits no carbon dioxide (CO 2 ) into the atmosphere has been described, where CO 2 gas and superheated steam are used as the main and sub working fluid, respectively, of a closed dual fluid gas turbine power generation system.

TL;DR: A large number of applications in all areas of technical science came into consideration, and the recent availability of adequate software and lately also of special purpose hardware tools has accelerated this development.

TL;DR: Application of a direct solution method for WLAV problems developed by Bartels, Conn, and Sinclair (1978) is discussed and two enhancements of their method are developed.

TL;DR: In this paper, the authors used Extended Kaiman Filter (EKF) for simultaneous state-parameter estimation for batch reactors in the presence of unknown kinetic rate constant, and showed that EKF can be used to estimate state and parameters separately.

TL;DR: In this article, a frequency-dependent RGA-analysis and optimal PI controller design for two-point composition control is presented. But the authors stress that decisions regarding controller design should be based on the initial response (high-frequency behavior) rather than the steady state.

TL;DR: The step by step design of an extended Luenberger observer with the aid of a computer using the symbolic programming language MACSYMA is shown and the program contains some user interface and input/output functions.

TL;DR: In this article, the covariance matrix of measurement errors is estimated based on the constraint residuals calculated from available data and a linear steady state model, which is assumed that the measurement errors are random, uncorrelated and have zero mean.

TL;DR: This paper attempts to propose a method for preference degree analysis in multiobjective decisionmaking problems (MDMPs), called the multiple factor analysis method based on a hierarchical analysis model.

TL;DR: Methods for computing optimal controls are reviewed and compared in view of their applicability for solving real world problems andParametrization is presented as valuable and powerful tool to derive solutions being realizable in practical situations.

TL;DR: This work is a contribution to computer aided supervision of continuous processes based on a model which continuously provides operators with a synthetic view of the process, but this model is founded on general principles of control theory rather than on physics.

TL;DR: In this article, the effect of manipulated variable bounds on robustness, robustness to error in model structure, and ability of NMPC to reject unmeasured disturbances was studied, and compared with a discrete linear controller tuned using the IMC approach.

TL;DR: In this paper, an approach to the control of voltage-fed induction motors, which takes explicitly into account the nonlinear multivariable nature of the model and the presence of uncertainties in the motor inductances, is discussed.

TL;DR: In this paper, a quadratic Lyapunov function is selected from the linear part of the system under study and possible information about the field where such a system holds.

TL;DR: In this article, the authors present a unified approach that provides complete decoupling of the effects of faults among each other and from the effect of modelling errors, and a framework of observer schemes for different kinds of fault detection and isolation is presented.