Showing papers in "Automatica in 1968"

TL;DR: This paper applies directly the method of conjugate gradients in function space to the iterative solution of optimal control problems in which the control variables must satisfy inequality constraints.

TL;DR: In this article, the authors present a coherent picture of the parameter estimation problem, starting from the theory of minimum risk or Bayes estimation, and show how other statistical estimation techniques can be interpreted as special cases (viz. maximum likelihood-, Markov-, and least squares estimation), the most important properties of these estimates are summarized.

TL;DR: The purpose of this report is to introduce the principle of some of the different methods used for process identification and compare the result of their application to simple problems.

TL;DR: It is shown that the main result in this paper can be specialized to yield many of the results obtained so far for nonlinear time-invariant systems and linear time-varying systems.

TL;DR: The intuitive and experience based methods that have characterized the development of Liapunov functions are re-examined and a conceptual base is established from which new procedures may more readily evolve.

TL;DR: It is shown in this paper how the known function may be used to construct new systems, based on the original one, which are also asymptotically stable, and how the parametric perturbation and the synthesis procedures are generalised to include autonomous and non-autonomous non-linear systems.

TL;DR: A theory of linear modelling is developed for multivariable systems in which signals form the inputs andModelling with delay operators and exponential weighting function operators is considered.

TL;DR: The quadratic-error regulator problem with a control-energy constraint has been investigated from the viewpoint of having limited control energy available or as an indirect method of limiting the maximum control amplitude and indicated that constraining control energy was quite effective in constrainingmaximum control amplitude.

TL;DR: It is shown that if the frequency response to be evaluated approaches a high frequency asymptote of the form @[email protected]^-^k, there is an optimum weight function which can be easily selected, which is closely related to the additive correction functions which are also considered in this paper.

TL;DR: The method furnishes the state characteristics of the technological equipment in the function of the setting values of the control organs, and hence serve principally for solution of control and optimization objectives.

TL;DR: Effective work on both the foregoing lines requires more effective access to operating and structural data on process and control systems, and more thorough analysis and incorporation of cost elements in such data has hitherto been achieved.

TL;DR: The present study deals with a digital computer version of the method described in the previous theoretical part and describes program structure of the so-called procedure network and provides guidance for its practical use.

TL;DR: Choice information concepts have been rewardingly applied to computers during the last several years and are applied to servo systems in the present paper.

TL;DR: Diagrams are presented of the allowable input step for stable response, as a function of the initial input equilibrium state, of the global phase-portrait concept of Poincare.