A new methodology for the design of adaptive controllers using “state-strict passivity”: Application to neural network controllers
Displaying 81 – 100 of 2294
A new Nyquist-based technique for tuning robust decentralized controllers
Alena Kozáková, Vojtech Veselý, Jakub Osuský (2009)
Kybernetika
An original Nyquist-based frequency domain robust decentralized controller (DC) design technique for robust stability and guaranteed nominal performance is proposed, applicable for continuous-time uncertain systems described by a set of transfer function matrices. To provide nominal performance, interactions are included in individual design using one selected characteristic locus of the interaction matrix, used to reshape frequency responses of decoupled subsystems; such modified subsystems are...
A new optimal algorithm for a time-dependent scheduling problem
Marek Kubale, Krzysztof Ocetkiewicz (2009)
Control and Cybernetics
A new OSS design based on parameter sensitivity to changes in measurements
R. Kalicka, D. Bochen (2006)
Control and Cybernetics
A new periodic multirate model reference adaptive controller for possibly non stably invertible plants
Kostas G. Arvanitis, Grigoris Kalogeropoulos (1997)
Kybernetika
A new robust training law for dynamic neural networks with external disturbance: an LMI approach.
Ahn, Choon Ki (2010)
Discrete Dynamics in Nature and Society
A nonlinear dynamic inversion-based neurocontroller for unmanned combat aerial vehicles during aerial refuelling
Jimoh Olarewaju Pedro, Aarti Panday, Laurent Dala (2013)
International Journal of Applied Mathematics and Computer Science
The paper presents the development of modelling and control strategies for a six-degree-of-freedom, unmanned combat aerial vehicle with the inclusion of the centre of gravity position travel during the straight-leg part of an in-flight refuelling manoeuvre. The centre of gravity position travel is found to have a parabolic variation with an increasing mass of aircraft. A nonlinear dynamic inversion-based neurocontroller is designed for the process under investigation. Three radial basis function...
A nonsmooth optimisation approach for the stabilisation of time-delay systems
Stefan Vandewalle, Wim Michiels, Koen Verheyden, Joris Vanbiervliet (2008)
ESAIM: Control, Optimisation and Calculus of Variations
This paper is concerned with the stabilisation of linear time-delay systems by tuning a finite number of parameters. Such problems typically arise in the design of fixed-order controllers. As time-delay systems exhibit an infinite amount of characteristic roots, a full assignment of the spectrum is impossible. However, if the system is stabilisable for the given parameter set, stability can in principle always be achieved through minimising the real part of the rightmost characteristic root, or...
A nonsmooth optimisation approach for the stabilisation of time-delay systems
Joris Vanbiervliet, Koen Verheyden, Wim Michiels, Stefan Vandewalle (2007)
ESAIM: Control, Optimisation and Calculus of Variations
This paper is concerned with the stabilisation of linear time-delay systems by tuning a finite number of parameters. Such problems typically arise in the design of fixed-order controllers. As time-delay systems exhibit an infinite amount of characteristic roots, a full assignment of the spectrum is impossible. However, if the system is stabilisable for the given parameter set, stability can in principle always be achieved through minimising the real part of the rightmost characteristic...
A note on controllability of nonlinear Volterra integrodifferential systems
Krishnan Balachandran, P. Balasubramaniam (1992)
Kybernetika
A note on controllability of semilinear integrodifferential systems in Banach spaces.
Balachandran, K., Sakthivel, R. (2000)
Journal of Applied Mathematics and Stochastic Analysis
A note on impulsive control of Feller processes with costly information
Dariusz Gątarek (1990)
Aplikace matematiky
The paper deals with the optimal inspections and maintenance problem with costly information for a Markov process with positive discount factor. The associated dynamic programming equation is a quasi-variational inequality with first order differential terms. In this paper we study its different formulations: strong, visousity and evolutionary. The case of impulsive control of purely jump Markov processes is studied as a special case.
A note on some characterization of invariant zeros in singular systems and algebraic criteria of nondegeneracy
Jerzy Tokarzewski (2004)
International Journal of Applied Mathematics and Computer Science
The question how the classical definition of the Smith zeros of an LTI continuous-time singular control system can be generalized and related to state-space methods is discussed. The zeros are defined as those complex numbers for which there exists a zero direction with a nonzero state-zero direction. Such a definition allows an infinite number of zeros (then the system is called degenerate). A sufficient and necessary condition for nondegeneracy is formulated. Moreover, some characterization of...
A note on the exponential stability of a matrix Riccati equation of stochastic control
Jerzy Zabczyk (1975)
Kybernetika
A note on the inversion of Sylvester matrices in control systems.
Li, Hongkui, Li, Ranran (2011)
Mathematical Problems in Engineering
A note on the trajectories of a class of hereditary systems
Bogdan Rzepecki (1985)
Banach Center Publications
A novel continuous model to approximate time Petri nets: modelling and analysis
Tianlong Gu, Rongsheng Dong (2005)
International Journal of Applied Mathematics and Computer Science
In order to approximate discrete-event systems in which there exist considerable states and events, David and Alla define a continuous Petri net (CPN). So far, CPNs have been a useful tool not only for approximating discrete-event systems but also for modelling continuous processes. Due to different ways of calculating instantaneous firing speeds of transitions, various continuous Petri net models, such as the CCPN (constant speed CPN), VCPN (variable speed CPN) and the ACPN (asymptotic CPN), have...
A novel control method for integer orders chaos systems via fractional-order derivative.
Zhou, Ping, Kuang, Fei (2011)
Discrete Dynamics in Nature and Society
A novel LMI-based robust model predictive control for DFIG-based wind energy conversion systems
Amir Gholami, Alireza Sahab, Abdolreza Tavakoli, Behnam Alizadeh (2019)
Kybernetika
The optimal and reliable performance of doubly fed induction generator is essential for the efficient and optimal operation of wind energy conversion systems. This paper considers the nonlinear dynamic of a DFIG linked to a power grid and presents a new robust model predictive control technique of active and reactive power by the use of the linear matrix inequality in DFIG-based WECS. The control law is obtained through the LMI-based model predictive control that allows considering both economic...
A numerical method for the solution of the nonlinear observer problem
Rehák, Branislav (2021)
Programs and Algorithms of Numerical Mathematics
The central part in the process of solving the observer problem for nonlinear systems is to find a solution of a partial differential equation of first order. The original method proposed to solve this equation used expansions into Taylor polynomials, however, it suffers from rather restrictive assumptions while the approach proposed here allows to generalize these requirements. Its characteristic feature is that it is based on the application of the Finite Element Method. An illustrating example...