Anisotropic regularization PDE's (Partial Differential Equation) raised a strong interest in the field of image processing. the benefit of PDE-based regularization methods lies in the ability to smooth data in a n...
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ISBN:
(纸本)9789896740009
Anisotropic regularization PDE's (Partial Differential Equation) raised a strong interest in the field of image processing. the benefit of PDE-based regularization methods lies in the ability to smooth data in a nonlinear way, allowing the preservation of important image features (contours, corners or other discontinuities). In this article, we propose a PDE-based method restoration approach integrating a double-well potential as diffusive function. It is shown that this particular potential leads to a particular regularization PDE which makes it possible integration of prior knowledge about the gradients intensity level to restore. As a proof a feasibility, results of restoration are presented both on ad hoc and natural images to show potentialities of the proposed method.
A novel haptic interface for extended range telepresence is presented that allows the user simultaneous wide area motion and haptic interaction in remote environments. To achieve an extended workspace, the haptic inte...
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ISBN:
(纸本)9789896740009
A novel haptic interface for extended range telepresence is presented that allows the user simultaneous wide area motion and haptic interaction in remote environments. To achieve an extended workspace, the haptic interface consists of a haptic manipulator for precise haptic rendering and a large portal carrier system that enlarges the workspace by prepositioning the end-effector. As the prepositioning unit is grounded and driven by three linear drives, our approach has the advantages of high force capability and an accurate positioning of the haptic interface. the use of this haptic interface with Motion Compression permits to explore large remote environments even from small user environments. As a result, not only has the user visual, acoustic, and haptic feedback, but can also controlthe teleoperator or avatar by natural walking, which considerably increases the sense of immersion. A prototype system for haptic extended range telepresence was designed, implemented, and tested.
In this paper, robust quadratic stabilization of nonlinear polynomial systems within the frame work of Linear Matrix Inequalities (LMIs) is investigated. the studied systems are composed of a vectoriel polynomial func...
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ISBN:
(纸本)9789898111999
In this paper, robust quadratic stabilization of nonlinear polynomial systems within the frame work of Linear Matrix Inequalities (LMIs) is investigated. the studied systems are composed of a vectoriel polynomial function of state variable, perturbed by an additive nonlinearity which depends discontinuously on both time and state. Our main objective is to show, by employing the Lyapunov stability direct method and the Kronecker product properties, how a polynomial state feedback control law can be formulated to stabilize a nonlinear polynomial systems and, at the same time, maximize the bounds on the perturbation which the system can tolerate without going unstable. the efficiency of the proposed control strategy is illustrated on the Turbine - Governor system.
the problem of designing gain-scheduled filters with guaranteed induced ∞ norm for the estimation of the state-vector of finite dimensional discrete-time parameter-dependent Takagi-Sugeno Fuzzy Systems systems is con...
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ISBN:
(纸本)9789898111999
the problem of designing gain-scheduled filters with guaranteed induced ∞ norm for the estimation of the state-vector of finite dimensional discrete-time parameter-dependent Takagi-Sugeno Fuzzy Systems systems is considered. the design process applies a lemma which was recently derived by the authors of this paper, characterizing the induced ∞ norm by Linear Matrix Inequalities. the suggested filter has been successfully applied to a guidance motivated estimation problem, where it has been compared to an Extended Kalman Filter.
this article presents an efficient solution for predictive control based on neural networks with feedfoward multilayer, as a model for a thermoelectric module. It is shown the capability of a neural network to learn t...
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ISBN:
(纸本)9789898111999
this article presents an efficient solution for predictive control based on neural networks with feedfoward multilayer, as a model for a thermoelectric module. It is shown the capability of a neural network to learn the entire nonlinear dynamics and the advantage of using these nonlinear models for the calculation of the predicted variables. It is also suggested a new control law capable of minimize the cost function using the Newton-Raphson and the descendent gradient optimization rules. For this application it is shown that a significant reduction in the number of iterations and application in real-time systems when compared to other optimization techniques.
Industrial applications are using run-time symbolic approaches only when formal methods can assign useful meaning to symbols by computationally inexpensive algorithms. However, most reasoning methods are either comput...
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ISBN:
(纸本)9789896740009
Industrial applications are using run-time symbolic approaches only when formal methods can assign useful meaning to symbols by computationally inexpensive algorithms. However, most reasoning methods are either computationally prohibitive or may compute indefinitely;thus such methods have limited use in industrial applications. In many practical situations, the uncertain environment in which an "intelligent" control system acts consists of the symbolic space of some other "intelligent" control system, both networked in the same name space. the result of such interaction is to establish relations between heterogeneous vocabularies and reasoning agents, and between symbols and the physical environment in which the connected systems act. this paper introduces and motivates the necessity for on-line quantification of the degree to which symbols in a system have their intended meaning.
this paper describes an approach to depth detection in scanning electron microscope images which aims at the automation of nanohandling procedures. It incorporates simultaneous tracking of an object in a stereo image ...
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ISBN:
(纸本)9789896740009
this paper describes an approach to depth detection in scanning electron microscope images which aims at the automation of nanohandling procedures. It incorporates simultaneous tracking of an object in a stereo image pair, generated using a self-built magnetic lens for tilting the electron beam. Object depth is concluded from the object displacement. the tracking procedure is based on the active contours method, adjusted by a region based energy function. An automatic contour initialization is presented that makes use of edge detection. All methods described have been implemented and tested extensively in the designated automation environment. the approach is found to provide very accurate depth estimates even at a small level of magnification.
Parametric modelling deals with determination of model parameters of a system. Parametric modelling of systems may benefit from advantages of real coded genetic algorithms (RCGAs), as they do not suffer from loss of p...
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ISBN:
(纸本)9789898111999
Parametric modelling deals with determination of model parameters of a system. Parametric modelling of systems may benefit from advantages of real coded genetic algorithms (RCGAs), as they do not suffer from loss of precision during the processes of encoding and decoding compared with Binary Coded Genetic Algorithm. In this paper, RCGA is used to identify the best model order and associated parameters characterising a thin plate system. the performance of the approach is assessed on basis mean-squared error, time and frequency domain response of the developed model in characterising the system. A comparative assessment of the approach with binary coded GA is also provided. Simulation results signify the advantages of RCGA over two further algorithms in modelling the plate system are also provided.
the paper considers a suboptimal solution to the dual control problem for discrete-time stochastic systems under the amplitude-constrained control signal. the objective of the control is to minimize the two-step quadr...
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ISBN:
(纸本)9789896740016
the paper considers a suboptimal solution to the dual control problem for discrete-time stochastic systems under the amplitude-constrained control signal. the objective of the control is to minimize the two-step quadratic cost function for the problem of tracking the given reference sequence. the presented approach is based on the MIDC (Modified Innovation Dual controller) derived from an IDC (Innovation Dual controller) and the TSDSC (Two-stage Dual Suboptimal control. As a result, a new algorithm, i.e. the two-stage innovation dual control (TSIDC) algorithm is proposed. the standard Kalman filter equations are applied for estimation of the unknown system parameters. Example of second order system is simulated in order to compare the performance of proposed control algorithms. Conclusions yielded from simulation study are given.
In this paper, we propose a fuzzy system to act as a control mechanism for the evolutionary process of search of a Cultural Algorithm with Evolutionary Programming (CAEP) applied to real-valued function optimization. ...
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ISBN:
(纸本)9789898111999
In this paper, we propose a fuzzy system to act as a control mechanism for the evolutionary process of search of a Cultural Algorithm with Evolutionary Programming (CAEP) applied to real-valued function optimization. the fuzzy system uses population knowledge to adjust the Influence Factor that represents the intensity of the influence of the Variation operator of the CAEP model, therefore adjusting the search process. this paper also presents a comparative analysis of the proposed influence function using well-known benchmarking functions.
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