An adaptive fuzzy controller is designed using a collection of fuzzy IF-THEN rules. Parameters of membership functions characterizing the linguistic terms in the fuzzy IF-THEN rules are changing according to some adap...
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The paper proposes an original frequency domain approach to decentralized controller design for performance applied within a robust design strategy. The novelty of the proposed approach consists in assessing the influ...
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Disturbance rejection performance is usually the most important aspect in designing controller in the process and the chemical industries. On the other hand, such tuned control loop may exhibit large overshoots on ref...
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Two novel linear matrix inequality (LMI) - based procedures to receive stabilizing robust output feedback gain are presented, one of them being modification of previous results of (Oliveira et al., 1999). The proposed...
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Two novel linear matrix inequality (LMI) - based procedures to receive stabilizing robust output feedback gain are presented, one of them being modification of previous results of (Oliveira et al., 1999). The proposed robust control law stabilizes the respective uncertain discrete-time system described by polytopic model with guaranteed cost. The obtained results are compared with other LMI results from literature and illustrated on the example.
This paper outlines an agent-based control approach for operation and management of network-enabled devices that exhibit intelligent behaviors cost effectively. The basic idea is to transform control algorithms into c...
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ISBN:
(纸本)0780379527
This paper outlines an agent-based control approach for operation and management of network-enabled devices that exhibit intelligent behaviors cost effectively. The basic idea is to transform control algorithms into control agents in networked environments under distributed system architectures and new hosting mechanisms for performing operational and control functions. Issues related to modeling and analysis of agent-based control processes as well as corresponding software platforms and middlewares are addressed here. Finally, case studies of agent-based control in real-world industrial applications are described and discussed.
Nowadays, the two-coordinate drives systems have became special and widespread group of multidimensional industrial controlsystems. They are used for control of the planar manipulators, for positioning of the two-coo...
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Nowadays, the two-coordinate drives systems have became special and widespread group of multidimensional industrial controlsystems. They are used for control of the planar manipulators, for positioning of the two-coordinate positioning tables and scanning devices. The variety of control tasks causes the variety of different structures of two-coordinate drives system. The proposed framework attempts to represent common functionality of the main structure that is compatible with positioning and scanning drives in two-dimensional space. Implemented algorithms for scanning process enable to solve the control quality improving tasks, related to minimization of power loss. The model has been specified using the concept of real-time modeling.
A controlsystemsengineering approach, employing a two-level overall system architecture and different but compatible formalisms for system representation on the upper and lower levels, has been investigated in detai...
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GO-CAD brings some novel functions and features to the intelligent building design and virtual reality simulation. This paper presents a novel methodology simulation during lighting simulation of a building to acquire...
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GO-CAD brings some novel functions and features to the intelligent building design and virtual reality simulation. This paper presents a novel methodology simulation during lighting simulation of a building to acquire data about the mutual interaction between a human - a virtual reality visitor represented by the so-called “avatar”, and a 3D building model and distance designing via Internet performed by a distributed multi-professional team. To demonstrate possibilities of the GO-CAD based modelling in the virtual reality, a lighting model has been chosen.
This paper presents an attractive artificial neural network (ANN) architecture with novel type of activation functions based on orthonormal function for modelling and control of non-linear processes. Theoretical metho...
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This paper presents an attractive artificial neural network (ANN) architecture with novel type of activation functions based on orthonormal function for modelling and control of non-linear processes. Theoretical methodology and design of algorithm for modelling and self-tuning control of uncertain non-linear complex processes is proposed. Several types of orthonormal functions (Fourier, Legendre, Laguerre and Chebychev) for non-linear process modelling and control are analysed and compared. Simulation results are provided to illustrate high performance of artificial neural networks with the orthonormal activation functions (OAFN) in practical problem solutions . The obtained results are compared and potential shortcomings of the proposed methods for real time industry control are discussed and analysed.
This paper dealt with modelling and control of non-linear dynamic processes by artifiacal neural network with orthogonal and wavelet activation functions. Wavelet decomposition is employed to explore the characteristi...
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This paper dealt with modelling and control of non-linear dynamic processes by artifiacal neural network with orthogonal and wavelet activation functions. Wavelet decomposition is employed to explore the characteristics of demand time series to extract more patterns from the series, and therefore enhance the forecast capability of neural network based models. Several types of orthogonal functions (Fourier, Legendre, Laguerre and Chebychev) for non-linear process modelling and control are analysed and compared. Simulation results are provided to illustrate high performance of artificial neural networks with the orthogonal activation functions in practical industrial problems. The obtained results are compared and potential shortcomings of the proposed methods for real time industry control are discussed and analysed.
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