Proportional-Integral-Derivative (PID) controllers are undoubtedly the most employed controllers in industry. Also, since the so called exact model matching is impossible in the actual realities, the partial model mat...
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Proportional-Integral-Derivative (PID) controllers are undoubtedly the most employed controllers in industry. Also, since the so called exact model matching is impossible in the actual realities, the partial model matching from the lowest order term to as higher the term as possible is adopted by Kitamori. This controller has a structure which cousists of information about the controlled object and the reference model. PID can be obtained after some manipulation from the original solution. Thus a problem arises which is the superior, the original one or PID. In this paper, we propose adaptive I-PD controller using augmented error method for SISO systems. In addition, we show the effectiveness of the proposed method by the simulation result.
Guaranteeing real-time is required in the field of digital control. This is to start a task at a predetermined time, and complete the task before the predetermined deadline. However recently, it is getting difficult t...
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ISBN:
(纸本)9781467303125
Guaranteeing real-time is required in the field of digital control. This is to start a task at a predetermined time, and complete the task before the predetermined deadline. However recently, it is getting difficult to guarantee such a completion. This is due to the fact that the amount of calculation within a period is increasing, and the period itself is being required to be shorter. As a method for parallel processing, GPGPU (General-Purpose computation on GPU) is recently attracting attention. However, tools to apply GPGPU to real-time system are not provided from the GPU vendor, and related research is not yet found. Therefore, this paper proposes and evaluates a method to operate GPGPU in real-time systems. From the experimental results, the proposed method dramatically reduced the jitter and the elapsed time comparing to the CPU itself, and also the conventional method. This shows that the proposed method improves the predictability of the completion time, and the GPU can be applied to real-time systems.
Multiple description coding (MDC) can be applied for multipath communication to reduce the negative affect of packet loss, and it is composed of three processes: encoding, quantizing, and decoding. Encoding and decodi...
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ISBN:
(纸本)9781467303125
Multiple description coding (MDC) can be applied for multipath communication to reduce the negative affect of packet loss, and it is composed of three processes: encoding, quantizing, and decoding. Encoding and decoding are well researched in MDC, but there are few researches that focus on the quantization process. Therefore, this paper focuses on the quantization process of MDC. The aim of this paper is to improve the quality of the received data, and to reduce the bit width by employing static quantization (uniform quantization) with dynamic quantizer (△∑ modulation). Performance evaluation was done using a block diagram input module XCos which is attached to the formula processing software Scilab. As a result of using the △∑ modulation, the distortion improved by 95.2％ when both of the descriptions were received, and 45.3％ when only one of the description was received. Also, the experimental result showed that the quantization bit width can be reduced from 8 bit to 6 bit when the △∑ modulation was used.
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