In this paper, experimental results on Cellular Neural Network Universal Machine (CNN-UM) chips will be presented. These analogic spatio-temporal visual microprocessors make it possible that one can use nonlinear wave...
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ISBN:
(纸本)0780366859
In this paper, experimental results on Cellular Neural Network Universal Machine (CNN-UM) chips will be presented. These analogic spatio-temporal visual microprocessors make it possible that one can use nonlinear waves as the basic kernels of algorithms solving filtering-reconstruction and/or detection-classification problems. Showing output results from series of experiments it will be demonstrated how trigger waves, the simplest nonlinear waves, can constructively be used in a number of important application areas.
The problem of optimal sequential vector quantization of Markov sources is cast as a stochastic control problem with partial observations and constraints, leading to useful existence results for optimal codes and thei...
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The problem of optimal sequential vector quantization of Markov sources is cast as a stochastic control problem with partial observations and constraints, leading to useful existence results for optimal codes and their characterizations.
This paper presents a new approach for approximate identification under the H 2 criterion where the model is parametrized in a basis generated by apriori knowledge on the location of system poles. A frequency domain i...
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This paper presents a new approach for approximate identification under the H 2 criterion where the model is parametrized in a basis generated by apriori knowledge on the location of system poles. A frequency domain identification procedure is proposed and it is applied to obtain models for the MIT interferometer testbed.
An object-oriented modular approach to the engineering of complex robotic systems emphasizes reliability, reusability, ease of development, and user and network interfaces. This modular approach integrates many archit...
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An object-oriented modular approach to the engineering of complex robotic systems emphasizes reliability, reusability, ease of development, and user and network interfaces. This modular approach integrates many architectural principles and computational techniques which support adaptive and learning capability at the local, modular level. The TETROBOT is a modular and reconfigurable robotic system which was developed to demonstrate the reliable performance in a wide variety of task domains through reconfiguration of the same fundamental hardware and software components. Such a modular approach emphasizes the synthesis and integration of engineering modules and takes advantage of object-oriented engineering principles to design for a family of tasks. This paper provides an overview of the TETROBOT modular system and describes three modular systems in other applications domains.
This paper deals with simultaneous control of acceleration transmission, wheel load fluctuation, suspension deflection and sprung mass displacement. The control theory is based on the robust H/sub /spl infin// control...
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This paper deals with simultaneous control of acceleration transmission, wheel load fluctuation, suspension deflection and sprung mass displacement. The control theory is based on the robust H/sub /spl infin// control theory with the consideration of the modeling errors lumped into an unstructured uncertainty acting on the unperturbed plant. The design method is new and powerful for electronic car suspension's control systems, as it presents a new approach to the designers for the computation of a controller maintaining robust stability while guaranteeing the performance in a wide frequency range, even in the case of the controller is applied to the actual plant. Additionally, the paper emphasizes that the assumptions in the modeling step may lead to unrealistic control designs and, as an example, the effect of the rigidity assumption on the behavior of the open loop system is discussed.
This paper consider the problem of reconfiguring VLSI/WSI arrays via the degradation approach. In this approach, all elements are treated uniformly and no elements are dedicated as spares. The goal is to derive a faul...
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The authors consider the problem of reconfiguring VLSI/WSI arrays via the degradation approach. In this approach, all elements are treated uniformly and no elements are dedicated as spares. The goal is to derive a fau...
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The authors consider the problem of reconfiguring VLSI/WSI arrays via the degradation approach. In this approach, all elements are treated uniformly and no elements are dedicated as spares. The goal is to derive a fault-free subarray T from the defective host array such that the dimensions of T are larger than some specified minimum. This problem has been shown to be NP-complete under various switching and routing constraints. However, it is shown that a special case of the reconfiguration problem with row bypass and column rerouting capabilities, is solvable in polynomial time using network flows. Using this result, a new fast and efficient reconfiguration algorithm is proposed. Empirical study shows that the new algorithm indeed produces good results in terms of the percentages of harvest and degradation of VLSI/WSI arrays.
Cellular neural networks (CNNs) are considered here as cellular analog programmable multidimensional processing arrays with distributed logic and memory. The interconnecting weights between the neighbouring processing...
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