Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristi...
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Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristics, the rate of convergence of these expansions can be drastically increased, leading to highly accurate models (small bias) being represented by few parameters (small variance). Additionally algorithmic and numerical aspects are favourable. A recently developed general theory for basis construction will be presented, that is a generalization of the classical Laguerre theory. The basis functions are applied in problems of identification, approximation, realization, uncertainty modelling, and adaptive filtering, particularly exploiting the property that basis function models are linearly parametrized. Besides powerful algorithms, they also provide useful analysis tools for understanding the underlying identification/approximation algorithms.
In this paper, we investigate the decentralized stabilization of some time-varying uncertain large-scale stochastic systems with delays under matching conditions. A type of decentralized controllers with guaranteed st...
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In this paper, we investigate the decentralized stabilization of some time-varying uncertain large-scale stochastic systems with delays under matching conditions. A type of decentralized controllers with guaranteed stabilization and sub-optimality are also given.
This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of ...
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This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of the surface of 3-D objects with a multi-objective optimization function to meet the needs of a wide range of applications. Further, a new crossover operator for triangulation and a new 3-D quadrilateral mutation operator are also introduced.
The use of AI techniques in control raises the problem of implementing operations with not well bounded and defined computing time, in a real time framework. In this paper, the combined used of conventional and AI con...
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The use of AI techniques in control raises the problem of implementing operations with not well bounded and defined computing time, in a real time framework. In this paper, the combined used of conventional and AI control strategies at different levels of process control is analyzed. Each control activity is split into a number of tasks, involving mandatory and optional computations. The main time constraints as well as some structures, namely the integrated and the hierarchical control structures, are reviewed and some solutions to guarantee the response time are proposed. Two applications in the control of industrial kilns are also discussed.
The EM algorithm and two MCMC algorithms are applied to manoeuvre detection in target tracking. These statistical methods are off-line and the intended use is to compute upper performance limits of on-line algorithms ...
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Services on the Internet rely on Internet applications, that is software applications distributed between clients and an Internet server relying on IP-based communication. This work demonstrates that they can benefit ...
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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 primary focus of this paper is the identification of second-order Volterra models using input sequences that offer the following three advantages: (i) the are 'plant friendly;' (ii) they simplify the requi...
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The paper deals with the problem of identifiability of mean-value models of turbocharged IC engines. A way of reducing such models to linear regressions using differential algebra is presented. The conditions of the g...
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Constrained predictive controller that is based on Youla-Kučera (YK) parametrisation of all stabilising controllers is discussed. The optimised variables are not future control increments as usual but directly paramet...
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