The paper presents the results of the research performed by the authors on control systems and optimization for the operating process of the heating installations from the blast furnace at a steel plant. This system w...
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The paper provides comparison of three different approaches to on-line tuning of adaptive notch filters (ANF) - the algorithms used for extraction/elimination of complex sinusoidal signals (cisoids) buried in noise. T...
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The paper provides comparison of three different approaches to on-line tuning of adaptive notch filters (ANF) - the algorithms used for extraction/elimination of complex sinusoidal signals (cisoids) buried in noise. Tuning is needed to adjust adaptation gains, which control tracking performance of ANF algorithms, to the unknown and/or time time-varying rate of signal nonstationarity. The first of the compared approaches incorporates sequential optimization of adaptation gains. The second solution is based on the concept of parallel estimation. It is shown that the best results are achieved when both approaches are combined in a judicious way. Such joint sequential/parallel optimization preserves advantages of both treatments: adaptiveness (sequential approach) and robustness to abrupt changes (parallel approach).
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.
This paper undertakes the problem of parametric yield enhancement by means of evolutionary computation techniques. This subject is an extremely important element of analogue circuit CAD and only heuristic approaches a...
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This paper presents combined approach to testing of analog electronic circuits by means of evolutionary methods (genetic algorithm), information theory and wavelet transform. Finding optimal shape of an aperiodic exci...
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ISBN:
(纸本)8392117263
This paper presents combined approach to testing of analog electronic circuits by means of evolutionary methods (genetic algorithm), information theory and wavelet transform. Finding optimal shape of an aperiodic excitation signal, which maximises probability of fault detection and location, is the task.
Knock in spark ignition (SI) engines is an undesired spontaneous auto-ignition of the unburned gas mixture, causing high combustion pressure pulses associated with vibration of the engine block. Knocking combustion li...
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ISBN:
(纸本)8392263219
Knock in spark ignition (SI) engines is an undesired spontaneous auto-ignition of the unburned gas mixture, causing high combustion pressure pulses associated with vibration of the engine block. Knocking combustion limits performance, durability and produce more pollutants. In the paper the author proposes a fast knock detection method based on wavelet transform.
A new fully embedded tactile/force sensor system to be installed on the phalanges of a robot hand is presented in this paper. Each sensor consists of a distributed array of analog tactile elements and an integrated th...
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This paper generalizes our previous work on optimal and adaptive testing to consider a more general scenario of software testing resource constraints. The assumption is that software testing must be stopped once the a...
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ISBN:
(纸本)1595934081
This paper generalizes our previous work on optimal and adaptive testing to consider a more general scenario of software testing resource constraints. The assumption is that software testing must be stopped once the allowed testing resources are used up. The contributions of this paper are as follows. First, we show that software testing with fixed resource constraints can be handled in the framework of the controlled Markov chains (CMC) approach to software testing. Second, an algorithm is adopted to reduce the computational complexity of on-line decision making in optimal and adaptive testing. Finally, the simulation results presented in this paper further confirm the effectiveness of the idea of adaptive testing in particular, and that of software cybernetics (which explores the interplay between software and control) in general. Copyright 2006 ACM.
Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. They cannot be control...
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This paper presents the application of a robust non-diagonal multivariable control design method, based on the Quantitative Feedback Theory (QFT), to the control of a complex wastewater treatment plant (WWTP) with bio...
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ISBN:
(纸本)9783902661104
This paper presents the application of a robust non-diagonal multivariable control design method, based on the Quantitative Feedback Theory (QFT), to the control of a complex wastewater treatment plant (WWTP) with biological removal of nitrogen and phosphorus. The control objective is to simultaneously regulate the concentration of ammonia, nitrates and phosphorus in the plant effluent. The manipulated variables are the dissolved oxygen (DO) level in the aerobic reactor, the sludge recycling flow from the settler and the amount of ferric hydroxide added to chemically precipitate the phosphorus. Thus, the system becomes a three-input-three-output control structure with model parameter uncertainty. A robust non-diagonal multivariable QFT method is used to design a fully populated matrix controller. This sequential method reduces the interactions between control loops, increases the robust stability and fulfils the robust performance specifications defined by the user. It also considers non-minimum phase aspects by avoiding the introduction of right-half plane transmission zeros due to the controller elements. Simulations carried out by using the IWA ASM2d model under WEST® software validate the proposed control methodology.
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