Showing papers in "Automatica in 1977"

TL;DR: The fuzzy control algorithm is used to implement linguistically expressed heuristic control policies directly, with a view to automating those complex and poorly-defined processes where modelling difficulties and lack of suitable measurements make manual control imperative.

TL;DR: A method to deal with multiple-alternative decision problems under uncertainty by considering each of these variables as fuzzy quantities, characterized by appropriate membership functions of fuzzy sets induced by mappings is proposed.

TL;DR: The regulator algorithms, their theory and industrial applications are reviewed and the major ideas are covered but detailed analysis is given elsewhere.

TL;DR: A unifying set of general stability criteria are given, from which known situations can be treated as special cases and new ones are handled with equal ease, for the stability of nonlinear feedback systems.

TL;DR: It is shown that prediction error identification methods, applied in a direct fashion will given correct estimates in a number of feedback cases, and the accuracy is not necessarily worse in the presence of feedback.

TL;DR: Fuzzy set theory is a relatively new concept which allows this qualitativeness to be expressed rigorously and its usefulness for control is assessed and a surprising number of practical successes are revealed.

TL;DR: It is found that the nonlinear controller reduces the altitude loss during stall and increases the magnitude of the angle of attack for which the aircraft can recover from stall.

TL;DR: This paper provides a review of one of the basic problems of systems theory-the general time-invariant optimal control problem involving linear systems and quadratic costs, developed using simple properties of dynamical systems and involves a minimum of 'hard' analysis or algebra.

TL;DR: A system of bilinear equations is derived which under appropriate conditions model the microbial cellgrowth and product formation of various waste treatment and fermentation systems and are significant for the on-line control of these biological processes.

TL;DR: In this paper, it is shown that, provided the closed loop system disregarding disturbances is stable, a necessary and sufficient condition for output regulation to take place is that the open loop path consisting of the plant and compensator in cascade, contains a suitably defined internal model of the environment.

TL;DR: The probability is approximated in a minimum mean squared sense by a probability according to which sequences can be sampled sequentially and with great ease, which makes it possible to design practical and efficient algorithms.

TL;DR: The positive result of this study is that the U-D covariance factorization algorithm has excellent numerical properties and is computationally efficient, having CPU costs that differ negligibly from the conventional Kalman costs.

TL;DR: The paper summarizes work using pattern features as a basis for practice and theory on how to characterize transient response computing readapted parameters which cause the control behavior to approach a desired transient 'shape'.

TL;DR: It is shown that under certain mild conditions, almost all composite interconnected systems are controllable and observable from any nontrivial input and output if and only if the resultant composite system is connectable.

TL;DR: The augmented error signal method is employed to ensure that the normally used true error signal approaches zero asymptotically without requiring anticipative values of the plant output signal.

TL;DR: Identification of multi-input multi-output (MIMO) linear dynamic systems is considered for the case when the measurements are obtained during closed loop operation and it is shown that the forward path model can be uniquely determined provided the regulator satisfies certain minimal complexity requirements.

TL;DR: The problem of forcing the state of a linear, multivariable, sampled-data system to zero in a minimum number of time steps is discussed and the solution to the posed problem is given as linear state feedbacks.

TL;DR: It is suggested that the impact of computers upon industry may give the opportunity for a similar development of production methods which accept and enhance the skill of manual workers.

TL;DR: Alternative methods for determining plastics extrusion process models, suitable for high level control, are examined and the importance of time-series techniques for feedforward control is demonstrated.

TL;DR: Game theoretic ideas are employed in establishing the tradeoffs between control effort and 'degree' of stabilization for a class of feedback controls for decentralized stabilization of interconnected systems.

TL;DR: The investigation of a self-tuning regulator for control of top product composition of a binary distillation column resulted in significantly improved control for both servo and regulatory control.

TL;DR: It is shown that an experiment in which the system input is generated by a combination of a minimum variance control law together with an external set point perturbation is D-optimal for certain classes of systems.

TL;DR: The Popov invariants are used to define two matrices M"A"B and K"B, which describe the properties of a system x@?

TL;DR: The paper deals with the control system of the high speed test vehicle KOMET, which leads to various control concepts, which are evaluated with regard to their responses to guideway irregularities, external forces and their sensitivity to plant parameter variations.

TL;DR: Experiences in control of continuous and discontinuous polymerization processes did prove that process computers can successfully replace conventional control systems, yielding a better performance and marked process improvements are possible by application of advanced control concepts.

TL;DR: The main large-scale control problems in electric power system operation, from optimal allocation of generation and transmission resources to network state estimation, frequency and exchange power control, system stability and dynamic security, are illustrated and the methods presently used to solve them are recalled.

TL;DR: Two prototype identifiable structures are presented which make possible the identification via an equation-error model reference adaptive system of linear plants with rational transfer function matrices.

TL;DR: Optimum control of a linear large scale dynamic system is formulated as a game problem using individual subsystem quadratic cost functions and an overall Nash solution strategy using parametric series solution based on @e-coupling.

TL;DR: A steering law is proposed for a roof type configuration Single Gimbal Control Moment Gyro system for attitude control of the Large Space Telescope, a payload of the Space Shuttle by using a new momentum distribution scheme that makes all the singular states unstable.

TL;DR: In this paper, a solution to the problem of designing robust controllers for linear servomechanisms is presented, and the results complete the work begun by Pearson et al. in that a general class of exogenous signals is included in the problem formulation.