The paper presents an optimization based algorithm for stabilizing retarded systems using a state derivative feedback controller. It is shown that an application of such a controller results in neutral dynamics of the...
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This paper proposes a smart video surveillance system with real-time moving object (primarily human) detection and identification for solving the problem of excessive power consumption in indoor public places. The pro...
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This paper proposes a smart video surveillance system with real-time moving object (primarily human) detection and identification for solving the problem of excessive power consumption in indoor public places. The proposed detection system is able to handle several known constraints such as changing illumination conditions, occlusion, clutter or even irrelevant extraneous motion. It keeps track of the number of humans in the vicinity and takes measures to gradually increase or decrease the luminosity depending on the number of people within its sight.
The Picture Archiving and Communication System(PACS)was introduced for computerization of the medical system and telediagnosis between the hospital. It is becoming possible to create, store, and transmit medical image...
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ISBN:
(纸本)9780769537580
The Picture Archiving and Communication System(PACS)was introduced for computerization of the medical system and telediagnosis between the hospital. It is becoming possible to create, store, and transmit medical images via PACS. There has been a growing interest in protecting medical images with an enormous amount of information. To improve transmission speed among the hospitals, the medical image should be compression JPEG 2000 by high compression ratio. This paper proposes an algorithM that utilizes both JPEG 2000 and robust watermarking for protection and compression of the medical image. With the proposed algorithm, it takes considerably less time to do JPEG 2000 and watermarking than when they are done separately. Based on the experiment results, it takes 0.72 second for the proposed algorithm and 1.11 second when they are done separately. We confirmed that the proposed algorithM was faster than when they are done separately.
A hierarchical Nonlinear Model Predictive control (NMPC) scheme with guaranteed Input-to-State-practical-Stability (ISpS) is proposed. The controller is formed by an Integral Sliding Mode (ISM) controller and a NMPC o...
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A hierarchical Nonlinear Model Predictive control (NMPC) scheme with guaranteed Input-to-State-practical-Stability (ISpS) is proposed. The controller is formed by an Integral Sliding Mode (ISM) controller and a NMPC one. The ISM, relying on the knowledge of the nominal continuous-time model of the system and of the piecewise constant control signal generated by the NMPC produces a control action aimed at reducing the difference between the dynamics of the nominal closed-loop system and the actual evolution of the state. The NMPC in this way can be designed based on a system with reduced uncertainty. In order to prove the stability of the overall control scheme, some general Regional ISpS results for continuous-time systems are proven.
In this paper, authors are proposed drive system for BLDCM using motor drivers based on LabVIEW. Most researchers generally use Matlab/Simulink program as computer simulation tool for their control system design. Thes...
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ISBN:
(纸本)9781424424900
In this paper, authors are proposed drive system for BLDCM using motor drivers based on LabVIEW. Most researchers generally use Matlab/Simulink program as computer simulation tool for their control system design. These control system must be coded to the motor drivers using program language such as C for its verification. We developed drive system using LabVIEW, it is able to complete whole process from control system design to verification of control system without program coding. Authors also proposed power conversion stack designed for LabVIEW controller and BLDCM drive.
The paper presents an optimization based algorithm for stabilizing retarded systems using a state derivative feedback controller. It is shown that an application of such a controller results in neutral dynamics of the...
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The paper presents an optimization based algorithm for stabilizing retarded systems using a state derivative feedback controller. It is shown that an application of such a controller results in neutral dynamics of the closed loop system if small feedback delays occur. Therefore, the strong stability theory of neutral systems needs to be considered in the controller synthesis problem. The stabilization approach is based on minimizing the spectral abscissa of the closed loop system over the controller parameter space, subject to a strong stability constraint.
A method for quasi-direct pole placement is presented for a class of retarded time delay systems with a single control input. The pole placement is done in two steps. First, a number of dominant poles, smaller than th...
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A method for quasi-direct pole placement is presented for a class of retarded time delay systems with a single control input. The pole placement is done in two steps. First, a number of dominant poles, smaller than the number of controller parameters, are directly assigned. This leads to constraints on the controller parameters. By using the singular value decomposition a simple parameterization of all controllers satisfying these constraints is obtained. In the second step, the remaining degrees of freedom in the parameter space are used to shift the remaining part of the system spectrum as far to the left as possible. It is done using an optimization procedure for nonsmooth, nonconvex functions. An extensive real-plant example is presented to demonstrate the application of the novel pole placement procedure.
This paper presents a novel load variation compensation algorithm in a sensor-less BLDC motor drive for a reciprocating compressor. Periodic load variation of a reciprocating compressor leads to commutation position e...
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ISBN:
(纸本)9781424424900
This paper presents a novel load variation compensation algorithm in a sensor-less BLDC motor drive for a reciprocating compressor. Periodic load variation of a reciprocating compressor leads to commutation position error and instantaneous speed variation and causes large peak currents. The major concept of this study includes tracking the pattern of load torque and controlling the motor input voltage by the commutation point and PWM depending on the tracked load torque. The suggested method can reduce the cost because this method does not require additional current sensing or voltage comparison circuit. The utility of the suggested algorithm was confirmed by simulation and experimental results of a sensor-less BLDC motor drive.
A quantum BP neural networks model with learning algorithm is proposed. First, based on the universality of single qubit rotation gate and two-qubit controlled-NOT gate, a quantum neuron model is constructed, which is...
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A quantum BP neural networks model with learning algorithm is proposed. First, based on the universality of single qubit rotation gate and two-qubit controlled-NOT gate, a quantum neuron model is constructed, which is composed of input, phase rotation, aggregation, reversal rotation and output. In this model, the input is described by qubits, and the output is given by the probability of the state in which (1) is observed. The phase rotation and the reversal rotation are performed by the universal quantum gates. Secondly, the quantum BP neural networks model is constructed, in which the output layer and the hide layer are quantum neurons. With the application of the gradient descent algorithm, a learning algorithm of the model is proposed, and the continuity of the model is proved. It is shown that this model and algorithm are superior to the conventional BP networks in three aspects: convergence speed, convergence rate and robustness, by two application examples of pattern recognition and function approximation.
The current Grover quantum searching algorithm cannot identify the difference in importance of the search targets when it is applied to an unsorted quantum database, and the probability for each search target is equal...
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The current Grover quantum searching algorithm cannot identify the difference in importance of the search targets when it is applied to an unsorted quantum database, and the probability for each search target is equal. To solve this problem, a Grover searching algorithm based on weighted targets is proposed. First, each target is endowed a weight coefficient according to its importance. Applying these different weight coefficients, the targets are represented as quantum superposition states. Second, the novel Grover searching algorithm based on the quantum superposition of the weighted targets is constructed. Using this algorithm, the probability of getting each target can be approximated to the corresponding weight coefficient, which shows the flexibility of this algorithm. Finally, the validity of the algorithm is proved by a simple searching example.
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