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: 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: 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: 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: 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 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: 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: 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: 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: 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: 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: In this paper, the authors present 14 chapters and two appendices and are written mainly for a first course in control systems engineering with a few graduate-level topics, but the majority of the examples and problems focus on mechanical engineering applications; this is probably due to the author's background and experience.

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: 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: This book contains many topics in the theory of discrete systems but fails to connect the theories presented to the physical systems from which the problems come, omits several parts of the theory that seem to be important, and shows less care in production than one would like to see.

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: 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: The results of this work show that given the properties of an oil reservoir and the Properties of a surfactant solution, an optimum injection policy which minimizes a specific economic objective functional can be obtained using distributed parameter control theory.