Showing papers in "Automatica in 1986"

TL;DR: The fundamental idea behind the algorithm presented involves constructing an upper bound for the Lyapunov derivative corresponding to the closed loop system, a quadratic form, which can be found by solving a certain matrix Riccati equation.

TL;DR: The structural indices of such systems are introduced and it is shown how an (AR) representation of a system having a given behaviour can be constructed.

TL;DR: The problem of determining redundancy relations that are optimally robust is addressed in a sense that includes several major issues of importance in practical failure detection and that provides a significant amount of intuition concerning the geometry of robust failure detection.

TL;DR: Rigorous relationships are derived in this study linking the RGA to closed-loop stability and robustness with respect to model uncertainty, and a new dynamic IM is defined for multi-variable systems under feedback with diagonal or block-diagonal controllers.

TL;DR: Three distinct yet related topics in the design of controllers for imprecisely known linear multivariable systems are addressed, including the type of plant uncertainty is the so-called “stable-factor” uncertainty, and necessary and sufficient conditions are given for robust stabilization.

TL;DR: Using some recent asymptotic expressions for the bias and the variance of the estimated transfer function, it is shown how this performance degradation can be minimized by a proper experiment design.

TL;DR: Using Generalized Harmonic Analysis, a complete description of parameter convergence in Model Reference Adaptive Control (MRAC) is given in terms of the spectrum of the exogenous reference input signal.

TL;DR: This alternative model is used to develop a new discrete model reference adaptive control law and a convergence analysis for the algorithm is presented.

TL;DR: First a mathematical vocabulary for discussing exact modelling is developed, and it is shown how the results of Part I guarantee the existence of a most powerful (AR) model for an observed time series.

TL;DR: It is shown that by combining a suitable machine model with the principle of rotor- or field-orientation a unifying basis for the design of ac-drives is created and the complicated signal structure of the control systems can be handled by microelectronics, i.e. by using software instead of elaborate hardware.

TL;DR: Continuous time algorithms for the on-line estimation of microbial specific growth rates of fermentation processes are proposed and the stability and convergence properties of the algorithms are described and their feasibility is illustrated by real life experiments.

TL;DR: A graph-theoretic method of extreme simplicity is proposed for decomposition and clustering of complex systems into interconnected subsystems with prescribed interaction strength, suitable for stability analysis via vector Lyapunov functions and decentralized control, and estimation of large-scale systems.

TL;DR: A new parallel computing structure of the Systolic Array type is presented for implementing a new algorithm for the measurement update step of the Kalman filter for state-space estimation that corresponds to parameter estimation from noisy measurements subject to a linear model.

TL;DR: Using a simple “linear” discrete time example, based on classical design, it is demonstrated that in the presence of undermodelling errors, non-linear phenomena in the feedback gain such as limit cycles and even chaos arise.

TL;DR: The objective is to design a state feedback controller so that for all allowable parameter values the system is internally stable and its output asymptotically tracks the command reference input.

TL;DR: This work presents a method for the robust estimation of system parameters based on the censoring of data and employing the maximum likelihood estimation, and shows that the modified maximum likelihood method works well in situations where other methods failed.

TL;DR: In general the minimal order of a stabilizing stable compensator may not be bounded in terms of the plant order and bounds can only be given in the special case of plants with at most one right half plane zero.

TL;DR: Strong consistency of the proposed estimator is proved under certain sufficient conditions and simulation results are presented in support of the theory.

TL;DR: This paper concentrates on the scenario above and in addition, the analysis permits the controller to be nonlinear, which amounts to an extension of the classical separation theorem to the case when the controller is nonlinear.

TL;DR: An algorithm of finding the time-optimal control of performance of jobs on a single machine with resource allocation, i.e. time-Optimal permutation of jobs with resource allocations is presented.

TL;DR: This paper reviews the applications of advanced control methods to pulp and paper unit process control reported during the last decade and explains why very few industrial applications are reported.

TL;DR: Using techniques from interpolation theory and complex variables, explicit necessary and sufficient conditions for robust stabilizability are obtained for distributed plants in terms of gain margin optimization and multiplicative perturbations.

TL;DR: The LP-OLOF regulator was implemented on a VAX 11/780 computer to control, in real time, a double water tank laboratory process, and the water level of a hydroelectric power station reservoir, showing that even with an assumed simple process model, satisfactory performance was achieved.

TL;DR: A new theory applicable to data treatment that derives a mathematical model of data disturbed by uncertainty, the statistical model of which may be unknown or even unjustifiable is briefly exposed.

TL;DR: A detailed Monte Carlo analysis gives an insight into the practical robustness of these procedures indicating the most reliable ones.

TL;DR: The class of all feedback matrices which decouple the system is characterized and this class is used to determine the number of closed loop pole zeros which can be specified for the decoupled system and to develop a synthesis technique for the realization of desiredclosed loop pole zero configurations.

TL;DR: A novel stochastic self-tuning control algorithm for multivariable linear systems described by Controlled Autoregressive Integrating Moving Average models is proposed, which ensures the robust offset rejection for any constant load disturbance acting on the plant.

TL;DR: In this article, the modified gain extended Kalman filter (MGEKF) is used as an observer and shown to be globally exponentially convergent in the presence of uncertainties.

TL;DR: A condition is given which delimits the sharp stability-instability boundary in the case of slow estimation, whereas local stability properties are guaranteed by a more conservative signal-dependent average SPR condition.