Showing papers in "IFAC Proceedings Volumes in 1982"

TL;DR: In this paper, the authors discuss the ways in which automation of industrial processes may expand rather than eliminate problems with the human operator, and make comments on methods of alleviating these problems within the classic approach of leaving the operator with responsibility for abnormal conditions.

TL;DR: The use of process computers and microcomputers permits the application of methods which result in an earlier detection of process faults than is possible by conventional limit and trend checks as mentioned in this paper...

TL;DR: A virtual manufacturing cell is developed at the National Bureau of Standards (NBS) as part of the control software for the Automated Manufacturing Research Facility (AMRF) project.

TL;DR: In this article, an orthogonal statistical method is proposed for identifying a nonlinear system by successively adding a basic model parallel to similar such models, and the basic model selected must not be closed under addition.

TL;DR: In this paper, a nonlinear difference equation representation for a wide class of nonlinear systems is introduced by considering the observability of non-linear systems and extending the classical autoregressive moving average model to include polynomic terms.

TL;DR: A new time-domain method of quadratic-optimum control synthesis for systems described by linear finite-memory output predictors updated in real time is presented, leading to algorithms which are numerically robust and therefore suitable for real-time computation using microprocessors with reduced word length.

TL;DR: Two algorithms are presented for self-tuning PID regulators based on the explicit identification of a second order process model with time delay and an explicit formula ensuring prescribed overshoot of the process output.

TL;DR: This paper presents a conceptual framework to systematize concepts introduced in different PLCs specifically designed for safe (1-bounded) PN simulation and shows that there is no “optimum” schema.

TL;DR: It is shown how such probabilities may be estimated from fuzzy data and a basic relation between joint, conditional and marginal fuzzy probabilities is established.

TL;DR: In this paper, a commercial ASEA-robot IRB 60 working in a cast iron manufactory was provided with a force-torque-sensor and a control system to improve its deburring performance.

TL;DR: The role of the human operator as a problem solver in man-machine systems such as vehicles, process plants, transportation networks, etc. is considered and an overall model proposed.

TL;DR: In this paper, the use of digital computers and parameter estimation methods allows the application of supervision methods which result in substantial earlier detection and localization of process faults than with conventional limit and trend checks.

TL;DR: In this article, it was shown that continuous-time regular (or bilinear) systems or discrete-time stateaffine systems have a similar property to the Volterra series.

TL;DR: This chapter discusses the challenge of standards for plant communication with small, modular control units, which allow partitioning of a process into separate local areas, and the multimaster communication systems used within local areas can also provide connection to other plant areas.

TL;DR: Three initial approaches to elucidating the nature of the picture are made: interviews with controllers, a real-time simulation, and a complete replay of radar display, flight plans, and speech communications for particular sessions.

TL;DR: The french projects SPARTACUS and Montpellier for the walking machine are described, which help quadriplegics and paraplegics who can use walking machines for re-education.

TL;DR: In this paper, a self-tuning predictor is used in a decision-making strategy used in an electrical servo for dead-time control in a heat transport process, where a predicted value of the process output is fed back, leading to a compensation of the time-delay.

TL;DR: In this paper, a hierarchical control architecture for a robot integrated into a real-time sensory interactive factory control system is described, where high level goals are decomposed through a succession of levels, each producing strings of simpler commands to the next lower level.

TL;DR: An adaptive, multiple-mode, mult irate sampled-data controller was designed using model-based techniques and implemented with a microcomptuer system and results from clinical evaluations with postsurgical patients were superior to the performance of previous automated infusion systems.

TL;DR: In this article, a practical application to a blast furnace is presented, where three canonical model structures have been suggested for the identification of multi-input/multi-output systems, which allow a systematical description of the system: the main model technique, the submodel technique and the subsubmodel technique.

TL;DR: In this paper, the authors considered the singularly perturbed, uncontrolled, autonomous, initial value problem, where x(e,t) and y(t) are scalars, e < 0, and xo and yo are constants.

TL;DR: In this article, the determinant of the Fisher information matrix is defined by a finite set of intrinsic invariants, and it is shown that these invariants give the same value to the Fisher Information matrix.

TL;DR: In this article, a joint Dutch/German aircraft parameter identification program has been conducted to investigate various factors affecting identification results, which led to five test signals which were implemented via a hydraulic control system in a flight test program with a De Havilland DHO-2 Beaver experimental aircraft.

TL;DR: In this article, a graphics-based information system for process control applications is presented, where all pieces of information, such as plant documentation, controller structures, control algorithms and run-time data, are positioned on virtual screens.

TL;DR: In this paper, a class of input-output multistructural (overlapping) models is developed starting from the usual state-space ones, and the algebraical link between state space and multistructure models is investigated.

TL;DR: An algorithm for recursive estimation of controlled ARMA processes is presented, which first estimates an autoregressive model, uses the resultant residual estimates to fit an ARMA process, which is employed to filter the data.

TL;DR: A simple and faster suboptimal multistep predictor is compared to the optimal one so that the increase in prediction error due to the non-optimality can be computed in real-time from the self-tuner's parameter estimations and the suboptical algorithm can be adapted such that this increase does not exceed a prescribed value.

TL;DR: In this article, an efficient position plus derivative control in joint space for a PUMA robot arm whose dynamic equations of motion are formulated by the Newton-Euler method is described.

TL;DR: In this paper, the authors show how stochastic control theory can be used to help robots calibrate and monitor themselves, check for drift, learn the correct spacing between holes or the pitch of palletized parts, and other long term matters of interest to practical intelligent robot behavior.