Iterative learning control was developed for systems that repeat the same task over a finite duration with resetting to the starting point once each execution is complete. The distinguishing feature of this form of co...
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ISBN:
(纸本)9781479917730
Iterative learning control was developed for systems that repeat the same task over a finite duration with resetting to the starting point once each execution is complete. The distinguishing feature of this form of control is the use of information from previous executions of the task to update the control signal to be applied on the next execution and thereby sequentially improve performance. Once an execution is complete, all information generated is available for use in control design and how to best use such information is a dominant issue. In applications, robust control is also a critical feature and the new results in this paper use parameter dependent Lyapunov functions to enlarge the uncertainty range allowed for successful design. These results are developed by treating ILC in a repetitive process setting.
This paper studies how to optimize the energy usage of home appliances in the demand response framework from the consumer's perspective. The loads of major home appliances are divided into three categories: fixed ...
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This paper studies how to optimize the energy usage of home appliances in the demand response framework from the consumer's perspective. The loads of major home appliances are divided into three categories: fixed loads, regulate-able loads, and deferrable loads. For efficient usage of the home appliances, an integrative optimization of the three category loads is needed. The paper investigates the relation of the integrative optimization and individual optimization of each category load. A regression-based learning strategy is employed to learn HAVC energy consumption model for development of more efficient DR policy. The study is conducted through an integrative computational experiment approach that combines a home energy simulator and MATLAB together for demand response development and evaluation. The paper examines how the integrative demand response of the residential home appliances are affected by dynamic pricing tariffs, seasons, and weather. Case studies are conducted by considering home energy consumption, dynamic electricity pricing schemes, and demand response methods.
In this paper, the real-time attitude determination based Matlab using low-cost receivers was designed and evaluated. The GNSS attitude determination system was implemented to operation in real-time by TimerCailback i...
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In this paper, the real-time attitude determination based Matlab using low-cost receivers was designed and evaluated. The GNSS attitude determination system was implemented to operation in real-time by TimerCailback in MATLAB. The TTM(Transniission Time Misalignment) of U-blox receiver was confirmed through zero baseline tests and this problem was revised, The computed attitude by the high-cost NovAtel receiver was compared to the computed attitude by the low-cost U-blox receiver. As a result of this, the performance of attitude determination systems by low-cost receiver was confirmed. To determine baseline, LAMBDA and BC-LAMBDA for integer ambiguities search methods were used. To confirm suitable integer ambiguity search method in real-time attitude determination algorithm, determined baselines by two methods were compared, and it was confirmed that BC-LAMBDA is more suitable. As a result of this, the operation of real-time attitude determination system was confirmed using 3 low-cost receivers.
Sign-Perturbed Sums (SPS) is a non-asymptotic system identification method that can construct confidence regions for general linear systems. It works under mild statistical assumptions, such as symmetric and independe...
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ISBN:
(纸本)9781479978878
Sign-Perturbed Sums (SPS) is a non-asymptotic system identification method that can construct confidence regions for general linear systems. It works under mild statistical assumptions, such as symmetric and independent noise terms. The SPS confidence region includes the prediction error estimate (PEM) and, for any finite sample and user-chosen confidence probability, it contains the true system parameter with exactly the given probability. Originally, SPS was introduced for open-loop systems, this paper overviews its applicability in closed-loop setups. The three main PEM approaches of closed-loop identification are addressed: direct, indirect and joint input-output, and it is discussed whether SPS can be applied to construct guaranteed finite sample confidence regions around these PEM estimates. Some parametrization issues are also highlighted and, finally, two numerical experiments are presented demonstrating SPS for closed-loop systems.
In this article a method for the detection of broken rotor bars in asynchronous machines operating under full load is presented. Unlike most Motor Current Signature Analysis (MCSA) approaches, which operate in the fre...
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Clinical cases are primary and vital evidence for Traditional Chinese Medicine (TCM) clinical research. A great deal of medical knowledge is hidden in the clinical cases of the highly experienced TCM practitioner. Wit...
The software of electric / electronic vehicle control systems is static in current series vehicles. Most of the systems do not allow maintenance or functional updates, especially in the field of driver assistance syst...
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This paper gives new results on the design of iterative learning control laws in the repetitive process setting for error convergence and regulation of the transient dynamics. Such control laws are applied to systems ...
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ISBN:
(纸本)9781479978878
This paper gives new results on the design of iterative learning control laws in the repetitive process setting for error convergence and regulation of the transient dynamics. Such control laws are applied to systems that repeat the same operation, known as trials, over a finite duration. The underlying approach is to specify a reference trajectory and using the recorded data from the previous trials to update the control input signal such that the sequence of trial outputs converge to this specified trajectory. For linear time-invariant dynamics, successful design requires that the first Markov parameter is non-zero, i.e., the system transfer-function is proper. The new design in this paper allows direct treatment of strictly proper dynamics by use of anticipative action based on previous trial data and the resulting design computations are linear matrix inequality based. A simulation case study based on robotic manipulator dynamics, whose model was developed from experimentally measured data, is used to demonstrate the feasibility and effectiveness of the new design procedure.
We discuss both the theoretical framework and implementation issues for the simulation of holonomic mechanical systems using automatic differentiation. Our approach allows the direct simulation of such systems based o...
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ISBN:
(纸本)9781450332477
We discuss both the theoretical framework and implementation issues for the simulation of holonomic mechanical systems using automatic differentiation. Our approach allows the direct simulation of such systems based on its Lagrangian. The Lagrangian may be given as explicit equations or as an algorithm containing control structures such as loops. The method is illustrated by the well-known ball and beam system. Copyright is held by the owner/author(s).
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