The Artificial Fish-swarm Algorithm (AFA) is an intelligent population-based optimization algorithm inspired by the behaviors of fish swarm. Unfortunately, it sometimes fails to maintain an appropriate balance between...
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In this paper, a novel model-free periodic adaptive ramp metering scheme is presented for a freeway traffic system, which can be formulated as a general MIMO nonlinear system. The proposed method is model-free in natu...
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In this paper, a novel model-free periodic adaptive ramp metering scheme is presented for a freeway traffic system, which can be formulated as a general MIMO nonlinear system. The proposed method is model-free in nature, and the control inputs and the pseudo Jacobi parameters are updated periodically in a pointwise manner over the entire period, by directly using the I/O data obtained in the preceding periods. The geometrical tracking performance is shown with rigorous analysis. The simulation results illustrate the validity of the proposed method.
In this paper, the robust output regulation problem of a networked linear system with uncertainties is considered. Based on internal model, distributed control scheme is adopted to achieve the objectives of asymptotic...
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This work presents a (numerical) technique to the local stability analysis of feedback linearizing control schemes for a class of uncertain nonlinear systems. A nonlinear decomposition of vector functions is applied t...
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Short nap is a good relaxation way when people feel sleepy and tired during the day time. An automatic light sleep level estimation technique was presented for short nap sleep evaluation. Parameters were extracted fro...
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This paper addresses the stability characterization problem for a class of nonlinear discrete-time controlsystems subject to actuator saturation and energy bounded disturbance inputs. The considered class of systems ...
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The goal of innovative education in engineering field is to cultivate excellent engineering talents with high quality, innovative spirit, innovative ability and innovative quality. With the wide application of microco...
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ISBN:
(纸本)9781424480333
The goal of innovative education in engineering field is to cultivate excellent engineering talents with high quality, innovative spirit, innovative ability and innovative quality. With the wide application of microcontroller technology, innovative education in engineering field based on microcontroller will be agility, convenience and effectively. In order to adapt to the needs of engineering education innovation, a novel engineering education innovation scheme by microcontroller technology has been proposed, including education of microcontroller course, experimental course in class, engineering practical extracurricular and science competition of college students. The proposed scheme combine curriculum with practice, by making full use of teaching and self-study advantages and bypassing spoon-speed disadvantages. By applying the scheme, engineering education innovation using microcontroller can be carried out with high efficiency, high quality, and individualization. College students will achieve innovative ability, practice ability and competition ability of employment by the scheme. Practice has demonstrated that the scheme is applicable.
Using the known periodicity of the given trajectory, we develop a new dynamical linearization method by introducing a concept of PPD, then present a new model-free periodic adaptive control approach (MFPAC) and its ex...
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Using the known periodicity of the given trajectory, we develop a new dynamical linearization method by introducing a concept of PPD, then present a new model-free periodic adaptive control approach (MFPAC) and its extension of higher-order learning control algorithm for a class of general nonlinear and non-affine discrete-time systems. It is model-free in nature and the controller design and analysis only depends on the I/O data of the dynamical system. The proposed MFPAC updates the PPD estimate values and the control signals periodically in a pointwise manner using the I/O data obtained at the corresponding points in previous periods, in the sequel achieves an asymptotic tracking convergence. A simulation example illustrates the feasibility and effectiveness of the proposed method.
This paper studies the tracking control problem of mobile manipulators based on state observer. The proposed tracking controller ensures that the full state of the system can asymptotically track the given desired tra...
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Minimum variance control is an established method in control of systems corrupted by noise. In these cases, as it is not possible to directly control the actual value of the system variables, one aims to reduce the va...
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ISBN:
(纸本)9781424474264
Minimum variance control is an established method in control of systems corrupted by noise. In these cases, as it is not possible to directly control the actual value of the system variables, one aims to reduce the variations instead. However, when the system noises are non-Gaussian, this approach fails because non-Gaussian noise cannot be characterised by simple measures such as variance. In these cases, the Entropy is proposed as a generalisation of the variance measure and the control objective becomes that of minimising the Entropy. Previously a limited form of this problem has been solved using first order Newtonian methods. In this paper, the control objective is first expanded to also include an error term related to the closed loop tracking performance, and the combined problem is then solved using a fast global optimisation search algorithm. The effectiveness of the approach is demonstrated through a case study based on a first principle model of a nonlinear heat exchanger.
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