Showing papers in "Automatica in 1994"

TL;DR: This survey is the first to bring to the attention of the controls community the important contributions from the tribology, lubrication and physics literatures, and provides a set of models and tools for friction compensation which will be of value to both research and application engineers.

TL;DR: Two new N4SID algorithms to identify mixed deterministic-stochastic systems are derived and these new algorithms are compared with existing subspace algorithms in theory and in practice.

TL;DR: The existence conditions are equivalent to Scherer's results, but with a more elementary derivation, and the set of all H∞ controllers explicitly parametrized in the state space using the positive definite solutions to the LMIs is provided.

TL;DR: It is shown how this framework can handle standard issues such as the analysis of stability and performance with or without uncertainties in the plant model, and robustness issues are problems in their own right and hence not detailed here.

TL;DR: Two algorithms to identify a linear, time-invariant, finite dimensional state space model from input-output data and a special case of the recently developed Multivariable Output-Error State Space (MOESP) class of algorithms based on instrumental variables are described.

TL;DR: This contribution shows how global identifiability for an arbitrary model structure (basically with analytic non-linearities) can be analyzed using concepts and algorithms from differential algebra.

TL;DR: The aim of this paper is to present the basic concept relative to Petri nets and the various classes of derived models which can be used for dynamic system modeling.

TL;DR: To increase the robustness of residual evaluation a frequency domain residual evaluation index is introduced, and optimal input adaptive fault thresholds are derived with respect to the frequency domain evaluation index.

TL;DR: A model predictive control technique based on a step response model is developed using state estimation techniques that removes the requirement for solving a Riccati equation and equipping the control system with useful on-line tuning parameters.

TL;DR: The performance and the robustness of this kind of FC stems from their property of driving the system into the sliding mode (SM), in which the controlled system is invariant to parameter fluctuations and disturbances.

TL;DR: A single-input-single-output nonlinear system which has a uniform relative degree equal to the dimension of the state vector and a robust state feedback control designed to drive the error to a positively invariant set that contains the origin is considered.

TL;DR: A new and natural framework is proposed using nest operators and nest algebras to tackle causality constraints and explicit solutions to the H ∞ and H 2 multirate control problems in the frequency domain are developed.

TL;DR: A time-varying sliding surface for a variable structure control (VSC) law is proposed to achieve fast and robust tracking in a class of second-order uncertain dynamic systems.

TL;DR: A Piecewise-linear control (PLC) law, based on LQ theory, is derived and the algorithms for the generation and subsequent implementation of the PLC law are explained.

TL;DR: A new adaptive state estimation algorithm, namely adaptive fading Kalmanfilter (AFKF), is proposed to solve the divergence problem of Kalman filter and has been successfully applied to the headbox of a paper-making machine for state estimation.

TL;DR: Formulas are derived which can calculate the number of input fuzzy sets, output fuzzy sets and fuzzy rules needed in order to satisfy any given approximation accuracy, and it is revealed that the number is minimal when the maximum number of intersection between adjacentinput fuzzy sets is one.

TL;DR: The transient stability of power systems is an extremely intricate and highly nonlinear problem as discussed by the authors, and transient stability studies are now increasingly important in operational planning and real-time operation, especially in power systems.

TL;DR: It is shown how to include a simple estimate of the effect of closing subsequent loops into the design problem for the loop which is to be closed and the procedure may be applied also for other performance measures.

TL;DR: This control theory has been implemented in an experimental vehicle, and evaluated for robust performance in a four-wheel shaker and during actual driving.

TL;DR: It is shown that the relation between [x(0)] and [ x (k) ] is ambiguous, Hence, the qualitative model is nondeterministic and necessary and sufficient conditions are derived under which nondetergetic or stochastic automata represent qualitative models of a linear autonomous system.

TL;DR: The following servomechanism problem is solved: Determine a l-universal adaptive strategy to control the output to track any reference signal in W 1,∞, with tracking error asymptotic to a ball of arbitrary prescribed radius λ >0.

TL;DR: The results of the paper show that although standard nonlinear control techniques are not applicable, it is possible to construct a nonlinear discontinuous control law based on the dynamics of the particular physical system.

TL;DR: It is shown here that this approach based on the so-called ‘asymptotic local’ approach for change detection is of much wider applicability: model reduction can be enforced, biased identification procedures can be used, and finally one can even get rid of identification and use instead some much simpler Monte-Carlo estimation technique prior to change detection.

TL;DR: The decentralized control problem for linear dynamic systems is revisited using a parameter space approach which enables the definition of the decentralized feedbacks from the existence of non-empty parameter convex sets.

TL;DR: A method for the automatic tuning of PID controllers in a closed loop, based on the estimation of a parametric ‘black-box’ transfer function model, is proposed, which has low sensitivity to disturbances and noise during the tuning experiment.

TL;DR: A graphical technique for tuning PID-type controllers based on the method of D-partition, which can be used to tune a precompensator, in a two degree of freedom structure, so as to improve tracking behaviour.

TL;DR: A generic control law for robust decoupling of lateral and yaw motion by yaw-rate feedback to front-wheel steering is derived, by which the linearized system gets velocity-independent yaw eigenvalues.

TL;DR: A real-world example of designing a nonlinear fuzzy controller to regulate blood pressure in post-surgical patients is given to demonstrate the practicality and effectiveness of the design procedure.

TL;DR: A nonlinear feedback control law is proposed which ensures, under appropriate assumptions, that the tracking error in the closed loop differential-algebraic system approaches zero exponentially.

TL;DR: In this paper, the authors present a method for creating and validating a nonlinear controller by the composition of heterogeneous local control laws appropriate to different operating regions, which can be analyzed by a combination of classical and qualitative methods.