Showing papers in "IFAC Proceedings Volumes in 1997"

TL;DR: The state of the art is outlined in a field which remains largely a theoretical topic with most application studies based upon aerospace systems and a basic literature review covering most areas of fault-tolerant control is provided.

TL;DR: The route guidance generation component of DynaMIT, a dynamic traffic assignment (DTA) system intended for deployment in a traffic center and capable of generating real-time prediction-based guidance information, is described.

TL;DR: A system for segmentation the data of a laser scanner on board a mobile robot should have good real-time capability to be able to integrate the information of the laser-scanner into the navigation algorithms of the mobile robot.

TL;DR: An overview of presently known neural networks for the identification of nonlinear dynamic systems is given, and two special neural network architectures, one with external and one with internal dynamics, are considered in more detail.

TL;DR: In this paper, a sliding mode observer is proposed to reconstruct actuator and sensor faults modelled as additive perturbations to the inputs and the outputs of the plant, and a design methodologies based on Linear Matrix Inequalities (LMIs) are presented.

TL;DR: The efficient natural gradient or relative gradient is extended to derive a set of on-line adaptive algorithms for single channel and combined multichannel linear blind source separation and time-domain deconvolution/equalization of additive, convolved signal mixtures.

TL;DR: In this article, P-time Petri Nets are used to model and evaluate performances of manufacturing systems with staying time constraints, where the model of such a system including its control is a Strongly Connected Event Graph, two linear programs can be expressed to obtain the minimum and the maximum average cycle time.

TL;DR: In this paper, a multivariate statistical process control tools have been developed for monitoring and fault detection on a Lam 9600 metal etcher, which is used in the manufacturing process.

TL;DR: Modelica as discussed by the authors is an object-oriented modeling language for physical modeling with the main purpose of making it easy to exchange models and model libraries, and it is based on non-casual modeling with true equations.

TL;DR: In this paper, the authors study the trade-off between the performance in the control loop and the performance of the filter in a system with significant uncertainties and show that there is a fundamental tradeoff between performance in control and the filter.

TL;DR: The structural canonical decomposition, obtained as a result of a structural study based on graph theory, points out the monitorable part of the system and provides a way to generate residuals and some extensions are possible as direct residual generation by variable elimination or sensor implementation.

TL;DR: In this article, the basic idea behind the large family of non-linear black box models is described, and it is shown how neural networks, wavelet networks, hinging hyperplanes, kernel methods, fuzzy models, etc all fit to a common framework of basis expansion, using a single "mother function".

TL;DR: In this paper, an energy optimal solution combining a static and a dynamic non-recursive algorithm is proposed for marine vessels equipped with azimuth (rotatable) and tunnel (fixed) thrusters.

TL;DR: A pre-trip demand simulator with predictive capabilities and an explicit simulation of the response of travelers to real-time pre- trip information is presented.

TL;DR: In this paper, the motion planning and the synthesis of a tracking controller of a flexible robot arm were studied in an algebraic framework using Mikusinski's operational calculus, and the results were reported.

TL;DR: In this paper, a new approach for identification of nonlinear dynamic systems is proposed based on a combination of generalized orthonormal basis functions and local linear model trees (LOLIMOT), which approximate an unknown function from data by the interpolation of many local linear models.

TL;DR: In this article, a preliminary analysis of alternative models for feasible path generation and choice is presented, in particular a k-shortest path multi-criteria model for path enumeration.

TL;DR: It is possible to define partial PCA's, as subspace representations of transformed parity relations, in that they are selectively sensitive to subsets of faults, resulting in a structure with the same fault isolation properties as a structured set of parity relations.

TL;DR: A new and comprehensive model of concepts of concepts termed Technical Failure and Fault Management Model is described and focusses on the aspects functions, purposes and means to structurize the comprehensive set of concepts.

TL;DR: It is shown that todav efficient tools are available to deal with mechanical descriptor systems and controlability, observability, stability, descriptor state feedback, observers, and parameter identification of such systems are discussed in detail.

TL;DR: In this paper, a scheme which combines the parametric and non-parametric approaches is proposed with a view to obtain a real-time implementable Fault Detection and Isolation (FDI) scheme.

TL;DR: It is proved, analytically, that the new solution algorithm for the all-to-one fastest paths problem for all departure time intervals has an optimal running time complexity that equals the complexity of the problem.

TL;DR: It is argued that some of the problems related to the use of neural networks, such as high dimensionality of the parameter space and problems with undesired local minima, can be alleviated by this approach.

TL;DR: In this paper, a new method based on torque control and power control of the propeller and thruster devices is introduced instead of calculating propeller speed and pitch set-point signals based on stationary functions, the propellers force to moment and power relations are used instead, which gives a significant improvement in the performance and the stability of the electrical power plant network.

TL;DR: In this paper, a nonlinear fuzzy model with transparent inner structure is used for the generation of relevant symptoms, and the resulting symptom patterns are classified with a new self-learning classification structure based on fuzzy rules.

TL;DR: Experiments of Internet modeling and of Internet-based teleoperation aimed at developing control laws to overcome the variable time-delay and data losses typical of Internet communication are described.

TL;DR: In this article, it is shown that for multivariate regression, CVA is a maximum likelihood method for determining the rank of such a relationship and as a result has optimal statistical properties in terms of prediction accuracy and testing hypotheses not shared by PLS and PCA.

TL;DR: This paper describes desirable properties of an ideal component, discusses the component interfaces and elaborates on the architecture support services that are needed to enable a component-based design of large distributed real-time systems.

TL;DR: A birds eye view of the continuous-time related aspects of the greater field of system identification is presented and some recent developments in the identification of linear systems and nonlinear systems are outlined.

TL;DR: In this article, a new dynamic ramp metering control model consisting of four components, namely state estimation, O-D prediction, local feedback control, and area-wide control, is presented.