Repetitive processes propagate information in two independent directions and are of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either st...
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Repetitive processes propagate information in two independent directions and are of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed ID here) or 2D systems theory. Here we give new results on the design of physically based feedforward/feedback control laws to achieve desired performance and disturbance decoupling in the sense defined in the body of the paper. The new results are for the case when only output (as opposed to state) information is used to activate the control law
This paper proposes a density based clustering algorithm which takes obstacles into consideration. The proposed Clustering with Obstacle Entities algorithm COE-DBSCAN is based on the DBSCAN algorithm, which performs e...
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作者：
Maciej NiedzwieckiAdam SobocinskiFaculty of Electronics
Telecommunications and Computer Science Department of Automatic Control Gdansk University of Technology Narutowicza 11/12 Gdansk Poland Tel: + 48 58 3472519 Fax: +48 58 3416132 e-mail: maciekn@eti.pg.gda.pl adsob@eti.pg.
Generalized adaptive notch filters are used for identification/ tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. Belon...
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Generalized adaptive notch filters are used for identification/ tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. Belonging to the class of causal adaptive filters, the generalized adaptive notch filtering algorithms yield biased frequency estimates. We show that this bias can be removed, or at least substantially reduced. The only price paid for the resulting improvement of the filter’s tracking performance is in terms of a decision delay, which must be incorporated in the adaptive loop. Since decision delay is acceptable in many practical applications, the proposed bias/delay trade-off is an attractive alternative to the classical bias/variance compromise.
Decision trees have been found very effective for classification especially in data mining. Although classification is a well studied problem, most of the current classification algorithms need an in-memory data struc...
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This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an ...
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Today's circuit design process is become a complex task. Sequential logic synthesis is an important part of the circuit design flow. The logic synthesis phase is a bottleneck during the overall design process sinc...
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The signal tracking properties of two adaptive notch filtering algorithms are studied analytically using a linear filter approximation technique. Even though restricted to a single frequency case, the presented analys...
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ISBN:
(纸本)1604238216
The signal tracking properties of two adaptive notch filtering algorithms are studied analytically using a linear filter approximation technique. Even though restricted to a single frequency case, the presented analysis provides valuable insights into the tracking mechanisms, including the speed/accuracy tradeoffs, the achievable performance bounds, and tracking limitations of the analyzed algorithms. Additionally, it allows one to formulate some useful rules of thumb for choosing design parameters.
This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an ...
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This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an autonomous robot. The interface is used in the robotics educational process. The basic commands to be given by voice (back, right, etc.) and the control of the agents are implemented in Visual Basic. More complex control programs can be implemented and tested in Matlab and after that executed with a simple voice command. This program is used as a part of an integrated educational strategy in autonomous robotics and was evaluated by a group of students. First experimental results related to the use of this conversational interface compared to traditional robot simulation environments and control of real robots are presented in this paper with related discussions.
Summary form only given. A new scheme for transmitting sensitive data is proposed, the proposed scheme depends on partitioning the output of a block encryption module using the Chinese Remainder Theorem among a set of...
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Summary form only given. A new scheme for transmitting sensitive data is proposed, the proposed scheme depends on partitioning the output of a block encryption module using the Chinese Remainder Theorem among a set of channels. The purpose of using the Chinese Remainder Theorem is to hide the cipher text in order to increase the difficulty of attacking the cipher. The proposed scheme assumes the existence of a set of transmission channels between the sender and the receiver parties from which S channels are chosen using some selection criteria. The message is divided into as set of blocks of a size that is a multiple of the size of the underlying block cipher block size. The resulting N bit encrypted block is used as an N-bits integer. This integer remainders with respect to S selected relatively prime numbers are sent over the S selected channels. On the receiver side the inverse Chinese remainder is applied to get the encrypted blocks followed by a decryption operation to construct the original message. The theory, implementation and the security of this scheme are described in the paper.
作者：
M. NiedzwieckiFaculty of Electronics
Telecommunications and Computer Science Department of Automatic Control Gdańsk University of Technology GdaDsk Poland
The paper presents results of local performance analysis of a generalized adaptive notch filter (GANF). Generalized adaptive notch filters are used for identification/tracking of quasi-periodically varying dynamic sys...
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The paper presents results of local performance analysis of a generalized adaptive notch filter (GANF). Generalized adaptive notch filters are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered extension, to the system case, of classical adaptive notch filters. The frequency tracking properties of the algorithm are studied analytically using a direct averaging approach and an approximating linear filter (ALF) technique. Even though restricted to a single frequency case, the presented analysis provides valuable insights into the tracking mechanisms of GANF, including the associated speed/accuracy tradeoffs, the achievable performance bounds, and tracking limitations. Additionally, it allows one to formulate some useful rules of thumb for choosing design parameters. We show that under the conditions of the ALF approximation, the optimally tuned GANF is a statistically efficient estimator of a slowly drifting system frequency.
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