中国科学院机构知识库网格系统: 检索

A multi-level vehicle-to-grid optimal scheduling approach with EV economic dispatching model 期刊论文 OAI收割
ENERGY REPORTS, 2021, 卷号: 7, 页码: 22-37
作者: Guo, Song; Qiu, Zejing; Xiao, Chupeng; Liao, Hui; Huang, Yuping

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收藏 | 浏览/下载：9/0 | 提交时间：2023/11/20

Electric vehicle V2G operation Multi-level scheduling approach EV economic dispatching Mixed integer nonlinear programming

Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach 期刊论文 OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者: Xiong, Tianyi; Pu, Zhiqiang; Yi, Jianqiang; Tao, Xinlong

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收藏 | 浏览/下载：49/0 | 提交时间：2020/07/06

neurocontrollers multi-agent systems Lyapunov methods closed loop systems nonlinear control systems time-varying systems adaptive control observers uncertain systems position control radial basis function networks robust control control system synthesis learning (artificial intelligence) minimal learning-parameter approach fixed-time CLSO time-varying formation tracking problem formation tracking control scheme multiagent systems time-varying formation tracking control problem model uncertainties velocity measurements radial basis function neural networks fixed-time cascaded leader state observer fixed-time observer-based adaptive neural network time-varying formation tracking control RBFNN-based adaptive control scheme

Takagi-Sugeno Fuzzy Regulator Design for Nonlinear and Unstable Systems using Negative Absolute Eigenvalue Approach 期刊论文 OAI收割
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 482-493
作者: Ravi V. Gandhi; Dipak M. Adhyaru

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收藏 | 浏览/下载：17/0 | 提交时间：2021/03/11

Eigenvalue approach nonlinear and unstable systems stability analysis Takagi-Sugeno (T-S) fuzzy regulator

Functional diversity promotes phytoplankton resource use efficiency 期刊论文 OAI收割
JOURNAL OF ECOLOGY, 2019, 卷号: 107, 期号: 5, 页码: 2353-2363
作者: Ye, Lin; Chang, Chun-Wei; Matsuzaki, Shin-ichiro S.; Takamura, Noriko; Widdicombe, Claire E.

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收藏 | 浏览/下载：59/0 | 提交时间：2019/10/21

biodiversity-ecosystem functioning causality test functional diversity nonlinear dynamical system resource use efficiency trait-based approach

Functional diversity promotes phytoplankton resource use efficiency 期刊论文 OAI收割
JOURNAL OF ECOLOGY, 2019, 卷号: 107, 期号: 5, 页码: 2353-2363
作者: Ye, Lin; Chang, Chun-Wei; Matsuzaki, Shin-ichiro S.; Takamura, Noriko; Widdicombe, Claire E.

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收藏 | 浏览/下载：17/0 | 提交时间：2019/10/17

biodiversity-ecosystem functioning causality test functional diversity nonlinear dynamical system resource use efficiency trait-based approach

Fault-Tolerant Controller Design for General Polynomial-Fuzzy-Model-Based Systems 期刊论文 OAI收割
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 2, 页码: 1046-1051
作者: Ye D(叶丹); Diao, Na-Na; Zhao XG(赵新刚)

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收藏 | 浏览/下载：21/0 | 提交时间：2018/04/16

Fault-tolerant control (FTC) mismatched premise membership functions nonlinear systems polynomial fuzzy systems sum of squares (SOS) optimization approach

Stability of transonic shocks in steady supersonic flow past multidimensional wedges 期刊论文 OAI收割
ADVANCES IN MATHEMATICS, 2017, 卷号: 314, 页码: 493-539
作者: Chen, Gui-Qiang; Fang, Beixiang

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收藏 | 浏览/下载：30/0 | 提交时间：2018/07/30

Stability Multidimensional M-D Transonic shocks Steady Supersonic Wedge Nonlinear approach Iteration scheme A priori estimates Boundary value problems Weighted norms Instability Asymptotic behavior

Trajectory tracking control of a quad-rotor UAV based on command filtered backstepping (EI CONFERENCE) 会议论文 OAI收割
2012 3rd International Conference on Intelligent Control and Information Processing, ICICIP 2012, July 15, 2012 - July 17, 2012, Dalian, China
Gong X.; Bai Y.; Peng C.; Zhao C.; Tian Y.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

A quad-rotor unmanned aerial vehicle is an under-actuated strong coupled nonlinear system with parameters uncertainty and unknown external aerodynamic disturbance. The trajectory tracking control system with a nested double-loops structure is designed in this paper according to the coupling characteristic between the attitude angles and translational position. A PD control algorithm is proposed in the translational outer-loop to export the desired attitude signals to the attitude inner-loop. An adaptive backstepping control algorithm is designed in the inner-loop with respect to the uncertain rotational inertia and un-modeled disturbance while in order to reduce the computational complexity the command filtered approach is introduced into the designing procedure. And finally the numerical simulation results are presented for the trajectory tracking stabilization of a Quad-rotor which demonstrates the excellent performance of the proposed control system and illustrate its robustness in face of disturbance and uncertain parameters. 2012 IEEE.

Two-photon transport in a waveguide coupled to a cavity in a two-level system 期刊论文 OAI收割
PHYSICAL REVIEW A, 2011, 卷号: 84, 期号: 6, 页码: 63803
作者: Sun, CP; Shi, T

收藏 | 浏览/下载：21/0 | 提交时间：2013/05/17

SINGLE QUANTUM-DOT STRONGLY INTERACTING PHOTONS PATH-INTEGRAL APPROACH OPTICAL CAVITY NONLINEAR CAVITY ONE-ATOM NANOCAVITY BLOCKADE PHASE

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：59/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).