This issue marks the beginning of the IEEE Transactions on Neural Networks and Learning systems (TNNLS). By adding «Learning systems» to the title, we now state explicitly the scope of the TRANSACTIONS to in...
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Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial...
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ISBN:
(纸本)9781467304290
Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysts method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs.
The mean-square exponential stability problem is investigated for a class of stochastic time-varying delay systems with Markovian jumping parameters. By decomposing the delay interval into multiple equidistant subinte...
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The mean-square exponential stability problem is investigated for a class of stochastic time-varying delay systems with Markovian jumping parameters. By decomposing the delay interval into multiple equidistant subintervals, a new delay-dependent and decay-rate-dependent criterion is presented based on constructing a novel Lyapunov functional and employing stochastic analysis technique. Besides, the decay rate has no conventional constraint and can be selected according to different practical conditions. Finally, two numerical examples are provided to show that the obtained result has less conservatism than some existing ones in the literature.
This paper presents a novel parallel system for Rail Transit based on ACP approach (Artificial systems, Computational experiments, Parallel execution), which is proposed to address issues on safety, efficiency and rel...
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ISBN:
(纸本)9781467313971
This paper presents a novel parallel system for Rail Transit based on ACP approach (Artificial systems, Computational experiments, Parallel execution), which is proposed to address issues on safety, efficiency and reliability of their operation and optimization. Firstly, the construction of dynamic, overall and real Artificial Rail Transit systems and their demonstration are provided. Then, based on these systems, the platform, content and analysis of computational experiments and comprehensive evaluation system are researched. Finally, parallel control and management of the actual systems via parallel execution can be achieved. By Parallel Rail Transit systems, a set of recommendations and strategies of railway can be formed, which would improve the overall functionality of the trail transit system.
To design an energy efficient data collection scheme instead of multi-hop data relay is essential for Wireless Sensor Networks. To many proposed data gathering approaches, the long data delay is the main problem. In t...
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In this paper, the speed-regulation problem for permanent magnet synchronous motor (PMSM) system under vector control framework is studied. For the speed loop, a standard internal model controller is first designed ba...
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This paper investigates the finite-time attitude stabilization problem for a rigid spacecraft with an unknown inertia matrix. By using homogeneous approach, a local continuous finite-time controller is first designed ...
The idea of M2M platform proposes a completely new system architecture for positioning and monitoring applications with wider coverage and higher communication efficiency. With the comparison of the original communica...
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To solve the difficulty that the applications of disturbance observer (DOB) approaches have been limited to minimum phase systems, a neural network disturbance observer using RBFN (RBFNDOB) is proposed for complex non...
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Robust real-time tracking of non-rigid objects is a challenging task. Color is a powerful feature for tracking deformable objects in image sequences with complex backgrounds. Color distribution is applied, as it is ro...
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