Showing papers in "Automatica in 1976"

TL;DR: The Internal Model Principle is extended to weakly nonlinear systems subjected to step disturbances and reference signals and is shown that, in the frequency domain, the purpose of the internal model is to supply closed loop transmission zeros which cancel the unstable poles of the disturbance andreference signals.

TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.

TL;DR: The content of main theorems is presented in a tutorial form aimed at a broad audience of engineers and applied mathematicians interested in control, estimation and optimization of dynamic systems.

TL;DR: In this article, the effect of decentralized feedback on the closed-loop properties of jointly controllable, jointly observable k-channel linear systems is studied by means of suitably defined directed graphs.

TL;DR: It is shown here that controlled differential equations which are analytic in the state and linear in the control have solutions which can be expanded in a Volterra series provided there is no finite escape time.

TL;DR: The results discussed highlight the operational aspects of multiplier methods and demonstrate their significant advantages over ordinary penalty methods.

TL;DR: Fuzzy algorithms based on linguistic rules describing the operator's control strategy are applied toControl of a warm water plant using fuzzy set theory.

TL;DR: By regarding @l as a suitably defined delay operator, it is explained how this result might be applied to delay-differential systems in order to control dynamic response.

TL;DR: Conditions are derived for which there exists a state feedback control such that the closed loop system is stable in the mean square sense and to cases in which the noise intensities are arbitrarily large.

TL;DR: System identification techniques are applied to determine ship steering dynamics and parameters of a linear continuous time model are determined using discrete time measurements using the maximum likelihood method.

TL;DR: In this paper, the discrete linear filtering problem is treated by factoring the filter error covariance matrix as P = UDU^T, and an efficient and stable measurement updating recursion is developed for the unit upper triangular factor, U, and the diagonal factor, D. The algorithm is simple and, except for the fact that square roots are not involved, can be likened to square root filtering.

TL;DR: It is shown that time-dependent periodic control can improve the fuel economy of vehicles in cruise and examples are given which show that QRSS control may give better performance than either RSS or QSS control.

TL;DR: It has been demonstrated practically that the use of exponential forgetting in the parameter estimation performed in the algorithm will give a very good regulator for the crusher.

TL;DR: It is shown that the results of the construction of Lyapunov functions for the finite dimensional linear systemx@?= Ax imply certain inequalities which have an intuitively appealing information theoretic significance.

TL;DR: Two families of solutions are derived, with equations evolving forwards and backwards in time, respectively, with Mayne-Fraser two-filter formula belongs to the set of backwards solutions, and within this framework certain difficulties with its interpretation can be resolved.

TL;DR: The decentralized stochastic control of a linear dynamic system consisting of several subsystems is considered by the introduction of a coordinator who collects measurements from the local controllers periodically and in return transmits coordinating parameters.

TL;DR: A new two level method is developed for the optimization of non-linear dynamical systems with a quadratic cost function that takes less than half the computation time of the global solution.

TL;DR: Feedback Stackelberg strategies are considered for two-person linear multi-stage games with quadratic performance criteria and noisy measurements with explicit solutions given when the information sets are nested.

TL;DR: This paper describes a set of techniques which have recently emerged for stabilizing such algorithms and illustrates their application by means of a number of examples.

TL;DR: It is shown that the existing model structure is overparameterized and can be simplified by modifying some of the original assumptions and recommendations for further simplification in the human operator model structure are made.

TL;DR: It is shown that the distance between the system transmission zeros and eigenvalues of the exogenous dynamics may be taken as a measure of the well-conditioning of the algorithm.

TL;DR: Due to the nonlinearities in the model equations an iterative procedure is proposed which attains the absolute minimum and can be worked out with satisfactory accuracy as confirmed by the test presented in this paper.

TL;DR: The graphical interpretation of both Theorem 1 and 1D is given in detail, and the transfer functions considered here are used in modeling transportation lags and communication lags, as well as in distributed systems such as steam in long pipe.

TL;DR: Using Schauder's fixed point theorem, sufficient conditions for global relative controllability are given and the results obtained are a generalization of Davison, and Klamka.

TL;DR: A feedback solution is obtained for a two polluter river pollution control problem using a hierarchial method that uses the continuous time 'No Delay', 'Pure Delay' and 'Distributed Delay' models of the river Cam near Cambridge.

TL;DR: A design procedure for single-loop feedback systems in which the plant is nonminimum-phase, with ignorance in its parameters, to be designed such that the time response to a deterministic input lies within specified boundaries.

TL;DR: The paper is an attempt to describe the use of identification methods in the U.S.R. where these develop and extend at a rate comparable to that of the rest of the world.

TL;DR: In this article, a multilevel stabilization scheme for high order linear systems is proposed in the framework of the decomposition-aggregation method used so far for stability analysis of large-scale systems by vector Liapunov functions.

TL;DR: The Stone-Weierstrass theorem is extended and used to develop a general theorem on representations of bounded, continuous, time-invariant, causal nonlinear systems which allows one to construct representations with desired structural properties.

TL;DR: This paper presents a synthesis technique for basically non-interacting, time-invariant, linear, minimum-phase, multi-variable feedback control systems with significant plant uncertainty.