A sufficient LMI condition is proposed for checking robust stability of a polytope of polynomial matrices. It hinges upon two recent results: a new approach to polynomial matrix stability analysis and a new robust sta...
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A sufficient LMI condition is proposed for checking robust stability of a polytope of polynomial matrices. It hinges upon two recent results: a new approach to polynomial matrix stability analysis and a new robust stability condition for convex polytopic uncertainty. Numerical experiments illustrate that the condition narrows significantly the unavoidable gap between conservative tractable quadratic stability results and exact NP-hard robust stability results.
Linear Matrix Inequalities (LMIs) are now widely used as a convenient tool for solving a significant number of control problems. Probably for historical reasons, LMIs have mainly been used conjointly with state-space ...
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Linear Matrix Inequalities (LMIs) are now widely used as a convenient tool for solving a significant number of control problems. Probably for historical reasons, LMIs have mainly been used conjointly with state-space methods. Several recent works however tend to prove that polynomial (or algebraic) methods, generally favored by teachers exposing the basics of control systems, can also rely on LMIs. With the help of simple illustrative examples, the purpose of this paper is to show how the simultaneous use of LMIs and polynomial methods can shed new insights into several important control problems. The readership can range from postgraduate students specializing in control systems to experts in LMIs or polynomial methods. The algorithms described in this paper will be part of the next version of the POLYNOMIAL TOOLBOX for MATLAB to be released soon, see *** .
Adaptive Model control (AMC) is an adaptive control methodology that makes use of FIR (Finite Impulse Response) adaptive modeling and that requires a minimum of a priori knowledge about the plant to be controlled. The...
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Adaptive Model control (AMC) is an adaptive control methodology that makes use of FIR (Finite Impulse Response) adaptive modeling and that requires a minimum of a priori knowledge about the plant to be controlled. The control relies on the inversion of the adaptively obtained model. In this work, a Gain Scheduling version of this methodology is proposed and tested on the simulated pitch dynamics of the A-4D aircraft, which is a time varying plant. The proposed system is formed by combining the Adaptive Model control system with a learning algorithm that learns and stores the AMC weight vectors under various operating conditions in a `gain scheduling matrix'.
The Adaptive Model control methodology is based on obtaining the model of a plant adaptively by using a FIR (Finite Impulse Response) filter, and inverting this model algebraically for use as the controller. This will...
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The incorrectness of several results concerning robustness measures introduced by M. S. Mahmoud in the paper `Some robustness measures for a class of discrete-time systems' is discussed. Some confusing issues are ...
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The incorrectness of several results concerning robustness measures introduced by M. S. Mahmoud in the paper `Some robustness measures for a class of discrete-time systems' is discussed. Some confusing issues are discussed, and the correct forms of the corresponding results are provided.
The main objective of this contribution is a new development of the continuous-time generalised predictive control (CGPC) resulting in a Youla-based CGPC design procedure for both minimumphase and nonminimum-phase unc...
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Banyan networks are commonly used as interconnection structures in ATM switches. This paper is concerned with the replication technique which was applied to the standard banyan networks. We apply this technique to the...
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Banyan networks are commonly used as interconnection structures in ATM switches. This paper is concerned with the replication technique which was applied to the standard banyan networks. We apply this technique to the plane interconnected parallel network (PIPN) which is a switch introduced previously as a better banyan-based interconnection structure. The normalized throughput of unbuffered and buffered replicated PIPN is analyzed analytically under uniform traffic model. We apply the simulation technique to verify the analytical results under the uniform traffic model and to study the performance of different heterogeneous traffic models. The performance is shown to increase significantly when the replicated PIPN is used which supports the idea of using this switch as a new high-performance ATM switch.
In this paper, an adaptive decentralized controller is presented to attenuate the transversal vibration of a flexible cablestayed bridge induced by seismic excitation, in which only local sensor information has been u...
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作者：
Machacek, J.Bobal, V.University of Pardubice
Faculty of Chemical Technology Department of Process Control and Computer Techniques nám. Čs. legií 565 Pardubice532 10 Czech Republic Technical University Brno
Faculty of Technology Zlín Department of Automatic Control nám. TGM 275 Zlín762 72 Czech Republic
A digital self-tuning controller algorithm for systems with time delay is presented in this paper. The controller parameter design is derived from the ultimate gain and ultimate period of the system. The main part of ...
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The paper deals with the adaptive control design of power turbogenerators operating in a complex power system. The designed control has to provide required steady-state and dynamic system properties under changing ope...
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The paper deals with the adaptive control design of power turbogenerators operating in a complex power system. The designed control has to provide required steady-state and dynamic system properties under changing operating conditions. The proposed control structure is a multiparameter one with self-tuning regulators on the subsystem level of the system. In the design, the standard pole placement method with recmsive parameter identification and heuristic automatic pole shift factor setting has been used which maintains the required oscillation level of the subsystems. The designed controllers have been verified via simulations using a nonlinear turbogenerator model in each subsystem. The power system parameter values have been obtained from the power system of Slovakia.
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