Showing papers in "Automatica in 1993"

TL;DR: A tutorial introduction to the complex structured singular value (μ) is presented, with an emphasis on the mathematical aspects of μ.

TL;DR: Two classical applications of MBPC are described which enhance the advantages of the method: feed-forwarding, constraints handling, no-lag error on dynamic set points, easy trade-off between robustness and dynamics specifications.

TL;DR: A general methodology for machines and other processes is described by using few measurements, dynamic process and signal models and parameter estimation to generate analytical symptoms to detect faults earlier and to localize them better.

TL;DR: A new subspace algorithm is derived to consistently identify stochastic state space models from given output data without forming the covariance matrix and using only semi-infinite block Hankel matrices.

TL;DR: The problem of nonlinear bounded-error estimation is viewed as one of set inversion and an original algorithm is proposed, based upon interval analysis, that makes it possible to characterize the feasible set for the parameters by enclosing it between internal and external unions of boxes.

TL;DR: The paper presents a tutorial exposition of H∞-optimal regulation theory, emphasizing the relevance of the mixed sensitivity problem for robust control system design.

TL;DR: It is shown that perfect rejection to disturbances applied to the plant input can be achieved no matter whether the system is minimum phase or non-minimum phase, whereas a fundamental limitation exists in the achievable transient performance of tracking and rejection.

TL;DR: A recursive prediction error identification algorithm, based on the Wiener model, is derived and shows that the input signal should be such that there is signal energy in the whole range of the piecewise linear approximation.

TL;DR: This survey is a tutorial whose aim is to explain the role of diophantine equations in the synthesis of feedback control systems and a simple parametrization of all stabilizing controllers for a given plant is presented.

TL;DR: An indirect method is introduced that is able to estimate consistently the transfer function of a linear plant on the basis of data obtained from closed loop experiments, even in the situation where the model of the noise disturbance on the data is not accurate.

TL;DR: Any linear system in controller canonical form perturbed by unknown global Lipschitz nonlinearities satisfying triangularity conditions is shown to be globally stabilizable by a fixed dynamic state feedback compensator whose order equals the state space dimensions.

TL;DR: It is concluded that the analysis of stochastic robustness offers a good alternative to existing robustness metrics and is appropriate for evaluating robust control system synthesis methods currently practised.

TL;DR: Keywords .

TL;DR: Two methods of designing robust two degree of freedom (TDF) controllers are introduced, one designed to meet robust stability and disturbance rejection specifications, and the other to improve the robust model matching properties of the closed loop system.

TL;DR: A realistic heat exchanger-continuous stirred tank reactor system is studied as a test case and the fault detection and diagnosis is based on the classification of process measurements and the classification is carried out using neural networks.

TL;DR: An adaptive backlash inverse controller for unknown plants with backlash is designed, a parametrization of the error caused by its estimate is given and the global boundedness of the closed-loop signals is proved.

TL;DR: A systematic procedure of robust control design is developed for the class of systems satisfying the generalized matching conditions and global stability in terms of either asymptotic, exponential, or uniform ultimate bounded stability is guaranteed under the proposed control.

TL;DR: This paper reformulate the identification of linear time-invariant systems operating in a closed-loop with an LTI compensator to an open-loop multi-input-multi-output (MIMO) (state space model) identification problem, followed by a model reduction step.

TL;DR: A new Lyapunov function is presented and used to design ‘softer’ control laws which exhibit the high-gain properties to a much lesser extent and achieve the same or better performance with less control effort.

TL;DR: It is shown that as the singular perturbation parameter ϵ approaches zero, the optimal disturbance attenuation level for the full-order system under a quadratic performance index converges to a value that is bounded above by the maximum of the optimal disturbances attenuation levels for the slow and fast subsystems under appropriate "slow" and "fast"quadratic cost functions.

TL;DR: This book is a significant contribution to the problem of modelling, estimation and adaptive control of bioreactors and is a highly valuable document, useful not only for biotechnological engineers, but also for all control engineers having to address issues regarding nonlinear and/or nonstationary processes.

TL;DR: It is analytically proven that the fuzzy control systems have the same local stability at the equilibrium point as the corresponding linear PI control system does.

TL;DR: An approach to statistical estimation where a “best” linearly parametrized dynamic regression model is identified, which is also consistent with specified knowledge about process responses, is discussed, which has the potential for adaptive control applications.

TL;DR: Conditions are given under which satisfaction of a performance specification is ascertained for a family of systems by only checking a finite subset of the extreme members of this family by Kharitonov's Theorem.

TL;DR: A nonlinear state observer plus state feedback control that insures exponential stability provided the desired torque does not exceed a given value is derived and it attains the field orientation objective of the highly successful “vector control” strategies.

TL;DR: A mixed H2/H∞ control problem for discrete-time systems is considered for both state- feedback and output-feedback cases and it is shown that these problems can be effectively solved by reducing them to convex programming problems.

TL;DR: The response of an important actuator for basis-weight control, the paper machine slice, is described by a single dimensionless design parameter that provides considerable insight about the CD response control problem.

TL;DR: A method of computing the unknown input distribution matrix is proposed as a powerful alternative method to either re-identification of plant parameters arising from different operating points or to the use of non-linear residual generation.

TL;DR: The class of nonlinear systems, where the iterative learning control is applied, can be extended by using the proposed method, and the results obtained are shown to be a generalization of the existing results for linear time-invariant systems.

TL;DR: In this article, the authors analytically proved that a nonlinear fuzzy controller with linear control rules and N members for input fuzzy sets is the sum of a global two-dimensional multilevel relay and a local nonlinear proportional-integral (PI) controller which adjusts the control action generated by the global multi-level relay.