Showing papers in "Automatica in 1975"
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TL;DR: Simulation results obtained for tracking an object in a cluttered environment show the PDAF to give significantly better results than the standard filter currently in use for this type of problem.
975 citations
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TL;DR: In this article, the robust control of a general servomechanism problem is considered and sufficient conditions for asymptotic tracking to occur, independent of disturbances in the plant and perturbations in the parameters and gains of the system, are obtained.
377 citations
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TL;DR: The joint problems of identification, tracking and prediction in a multi-target, multi-sensor environment are considered and the previously developed Gaussian sum approach is used.
284 citations
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TL;DR: A unitary identification procedure for linear multivariable systems based on the direct determination of a set of invariant indexes completely describing the input-output structure of the system is described.
277 citations
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TL;DR: In this article, a suboptimal solution to the nonlinear quadratic regulator and tracking problem with infinite final time is investigated, and it is shown that with certain restrictions the sub-optimal control law exists and is a continuous function of state and time.
156 citations
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TL;DR: It is shown that by solving the dual problem the delay terms can be easily handled and the optimal solution to the original problem is obtained without reducing the multi-dimensional high-order system equation to a conventional larger dimensional first- order system equation.
125 citations
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TL;DR: In this paper, two methods of adaptation are compared with respect to the sensitivity model and Liapunov approach for a ship with a constant thrust power, and the results were tested in practice on this ship.
121 citations
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TL;DR: In this article, the local minimum points of a loss function for a common structure of a general form are investigated and sufficient conditions are given for the existence of a unique stationary point, which then also gives the desired global minimum.
100 citations
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TL;DR: An algorithm has been developed which has not only decreased the output variance but also reduced the losses at quality changes and mill set-ups and the general nature of the algorithm permits application to many other types of processes.
77 citations
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TL;DR: It is seen that both the algorithms of Tamura as well as the Takahara-Sage method are particularly suited to systems with slow dynamics whereas Pearson's pseudo-model co-ordination method could be used advantageously for systems with fast dynamics.
76 citations
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TL;DR: In this article, a survey of the application of system identification techniques to chemical, metallurgical, paper and pulp, cement and glass industries is presented, and the main conclusion is that interactive programs are very efficient for handling all the phases of model building due to its iterative nature.
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TL;DR: In this paper, a general approach for the design of adaptive control systems usable for electrical drives subject to rapid, wide and unmeasurable variations in plant parameters is presented, based on the model reference adaptive control techniques designed using the Popov-Landau method.
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TL;DR: In this paper, the authors derived necessary and sufficient conditions for connective stability of non-linear matrix systems described by the equation [email protected] = A(t, x) x, where the matrix has time-varying nonlinear elements.
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TL;DR: In this paper, the problem of designing the magnetic suspension system for a wheelless train with maximum speeds of up to 500 km/hr is discussed, and a number of control synthesis techniques, such as decomposition, arbitrary dynamics and linear quadratic optimum control are applied.
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TL;DR: In this article, a mathematical model of amino acid fermentation using bacteria is built based on the kinetic study of experimental data of the pilot plant, which makes it possible to formulate mathematically two optimal control problems in the actual process: (1) the problem of optimal start-up to a desired steady state, involving the optimization of the steady states, and (2) dynamical operation aiming at the maximum production of the amino acid within a specified operation period.
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TL;DR: In this article, a nonlinear dynamical model, a linearized dynamical and a minimal steady-state model of a portion of the system responsible for thyroid hormone regulation in man were developed.
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TL;DR: In this article, a systematic way of performing pole-zero cancellation tests taking the uncertainty of the model parameters into account is suggested, and application to models obtained with least squares identification is considered.
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TL;DR: A distributed parameter filter was used to estimate the transient temperature profile in an aluminum slab subject to heating and cooling, producing good state estimates even with only one thermocouple measurement and with rather high measurement noise.
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TL;DR: In this article, a servosystem for adaptive control of the grasping force in the operation of industrial manipulators is described. But the main part of the adaptive servos system is the new slippage transducer.
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TL;DR: This paper addresses the problem of organizing data and formulating questions to be answered for the purpose of making planning and development decisions and accounts for uncertainty in all aspects of the problem and yields probabilistic answers.
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TL;DR: In this paper, a general filter for nonlinear distributed parameter systems having an arbitrary number of moving boundaries is presented, which is capable of including both volume and boundary process noise as well as measurement errors.
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TL;DR: In this paper, the problem of minimizing f(x) over the constraint set C = {x: qi(x), @? 0, i = 1,..., s}.
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TL;DR: A new conjugate-gradient algorithm which minimizes a function of n variables is given, and based on these experiments, the new algorithm appears to be more robust than Powell's, Fletcher-Powell's, and Jacobson-Oksman's methods, faster than Rosenbrock's method, and especially effective on high dimensional problems.
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TL;DR: Some additions and clarifications are presented as a supplement to a recent survey in this journal of smoothing for linear and nonlinear dynamic systems.
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TL;DR: In this paper, a modified approach to solve state estimation problems of nonlinear dynamic systems involving noise free, uncorrelated and correlated state and measurement noise processes is presented, making use of the matrix minimum principle together with the Kolmogorov and Kushner's equations to minimize the error-variance, taken to be the estimation criterion.
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TL;DR: In this paper, the importance of hierarchical modeling for the planning and management of regional total water resources systems is discussed, where a decomposition and multilevel optimization approach is utilized.
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TL;DR: In this article, a linear time-invariant system with white noise affecting additively both the state and the observation is considered, and the likelihood functional cannot be obtained when the observation noise covariance is unknown.
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TL;DR: In this article, a partial ordering of spectral factors is presented, which relates frequency domain, time domain, and algebraic statements of a partial order of spectral factor in a given order.
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TL;DR: In this article, the authors model the Danish economy as a differential game among the sectors, and solve this game using an algorithm (A ) published in full detail elsewhere, which is used for the approximation of open-loop Nash-Cournot equilibrium controls.