Showing papers in "Automatica in 1974"

TL;DR: In this paper, the necessary and sufficient conditions for a multivariable plant P(s) with asymptotically stable hidden modes to be stabilizable by means of singleloop feedback employing an asythmically stable controller and feedback sensor were derived.

TL;DR: In this paper, a new definition of transmission zeros for a linear, multivariable, time-invariant system is made which is shown to be equivalent to previous definitions.

TL;DR: The ''state of the art'' based on the literature published since 1964, 253 references is presented and basic properties and the classification of various types of model reference adaptive systems are paid.

TL;DR: In this paper, interactive terminal-descent guidance enables the crew to control the essentially vertical descent rate in order to land in minimum time with safe contact speed, using concepts that make gimbal lock inherently impossible.

TL;DR: In this article, an algorithm is given to estimate the noise covariance matrices for a linear, discrete, time-varying stochastic system, and the correlation products of the innovations sequence is also linear in these parameters.

TL;DR: In this article, the authors compare and evaluate identification and parameter estimation methods, three simulated linear discrete processes (i.e., a second-order oscillatory process, a secondorder non-minimum phase process, and a third-order, low pass, process with delay) with the following on-line methods.

TL;DR: The purpose of this paper is to show how the important problems of linear system theory can be solved concisely for a particular class of linear systems, namely block circulant systems, by exploiting the algebraic structure.

TL;DR: In this article, the application of model referenced adaptive control theory to an optical tracking telescope is discussed and the capability of the adaptive technique to compensate for mount irregularities such as inertial variations and bearing friction is demonstrated via field test results on a large tracking telescope.

TL;DR: Deliberate introduction of sliding modes into the system ensures that the output of the plant to be optimized follows the monotonically decreasing reference input, in the case of minimization, and that the constraints on the plant input parameters hold.

TL;DR: In this paper, the convergence properties of the generalized least squares method are analyzed and the number of local maximum points of the likelihood function is examined, and it is shown that this number is influenced by the signal to noise ratio.

TL;DR: In this article, the authors discuss six popular parameter identification algorithms for linear discrete-time dynamic systems, namely the Crosscorrelation technique, the first and second Stochastic Approximation methods, the Maximum Likelihood method, the maximum a-posteriori probability filter, and the extended Kalman filter.

TL;DR: In this paper, a description is given of five tests based on respectively: (1) the behavior of the error function, (2) the whiteness of the residuals (correlation function), (3) the statistical independency of loss functions, (4) the behaviour of the determinant, and (5) the pole-zero cancellation effect.

TL;DR: In this paper, it is shown that a system S consisting of a number of subsystems connected in an arbitrary way between themselves with finite gains may be satisfactorily controlled by applying only local controllers about the individual subsystems.

TL;DR: In this paper, a simple ordinary differential equation model for DO-BOD interaction in a single reach of a river has been verified against field data obtained from the River Cam outside Cambridge in Eastern England.

TL;DR: In this article, the accuracy of the models estimated with the direct least squares-and maximum likelihood-methods is investigated critically, in order to determine also the most accurate order of the model, seven structure testing methods are thoroughly investigated.

TL;DR: The algebraic language of category theory is the setting for a theory of reachability, observability and realization for a new class of systems, the decomposable systems, which generalize linear systems and group machines.

TL;DR: The role of Information Structure and its design in many person or decentralized optimization problems have been relatively neglected in stochastic control as well as game theory.

TL;DR: In this paper, the set of all finite order constant linear systems is parametrized as independent invariants for the equivalence relation, which defines two systems to be equivalent when they have the same impulse response.

TL;DR: The results for the problems of ''perfect model following'' and ''hyperstability of model reference adaptive systems'' are integrated in order to develop a general design technique for multivariable adaptive model following control systems.

TL;DR: An expository derivation of the square-root information filter/smoother is given, based on the recursive least-squares method, which is easier to grasp, interpret and generalize than are the dynamic programming arguments previously used.

TL;DR: A new adaptive control scheme where the control is chosen both to regulate and to elicit information is presented, done by minimizing the one-step-ahead expected squared output, subject to a constraint on the trace of the one step-ahead information matrix.

TL;DR: In this article, the authors presented a method of digital approximation of a continuous-data system by the matching of states at multiple sampling periods, with the change of gains at each sampling period.

TL;DR: In this article, a design approach for systems operating over a relatively short period of time about various operating points with state variable constraints is presented for a simplified model of longitudinal dynamics of the F-4 aircraft operating in three widely separated flight conditions.

TL;DR: The theory is used to explain discontinuities in weighting-function models of a gas-turbine engine in which the input-transducer had direction-dependent dynamic responses.

TL;DR: In this article, an explicit method of constructing an asymptotic power series solution of the TPBVP as the small parameter tends to zero is presented, which allows a separation of slow and fast dynamics in the problem while reducing the differential order of the equations.

TL;DR: In this article, the problem of designing a linear feedback when all state variables are not available is discussed, and a design scheme is based on computation of a complete state feedback and a reduction to a specified structure.

TL;DR: The basis and conception of, and some experimental results obtained from, the automation of a hydroelectric power station are presented and the general principles of variable structure control systems are presented.

TL;DR: In this paper, the authors present dynamical models of a tethered rotor platform with special emphasis on tether dynamics for the analysis of the dynamical behavior of the vehicle and in particular for the design of an automatic hover control system (AHCS).

TL;DR: In this article, a differential operator approach to modeling the dynamical behavior of linear, time-invariant, multivariable systems is employed in order to develop some new techniques for determining the controllability and observability properties of series, parallel, and feedback composite systems.

TL;DR: In this article, a linear multivariable time-invariant plant, subject to both measurable and unmeasurable constant disturbances, is regulated to preassigned set points.