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Controller Design for Nonlinear Systems Subject to Both Input Saturation and Asymmetry Time‐varying State Constraints: A Novel Network‐based Approach featured image

Controller Design for Nonlinear Systems Subject to Both Input Saturation and Asymmetry Time‐varying State Constraints: A Novel Network‐based Approach

In this article, the issues of asymmetric input saturation and asymmetric time-varying state constraints are integrated into nonlinear systems for the first time, and a new …

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李娜
Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach featured image

Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach

For the large-scale nonlinear systems subject to dynamic uncertainties, an adaptive multi-dimensional Taylor network (MTN)-based decentralized control strategy is proposed, which …

Zhengduo Shan
Adaptive Multi‐dimensional Taylor Network Tracking Control for Nonlinear Systems with Input Saturation and~Full~State Time‐varying Constraints featured image

Adaptive Multi‐dimensional Taylor Network Tracking Control for Nonlinear Systems with Input Saturation and~Full~State Time‐varying Constraints

In this article, an adaptive multi-dimensional Taylor network (MTN) control approach is developed for nonlinear systems subject to input saturation and full state time-ying …

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韩玉群
Adaptive Tracking Control for Switched Nonlinear Systems Subject to Input Delay and Saturation Using Multi-Dimensional Taylor Network Approach featured image

Adaptive Tracking Control for Switched Nonlinear Systems Subject to Input Delay and Saturation Using Multi-Dimensional Taylor Network Approach

Aiming at switched nonlinear systems subject to input delay and saturation,a novel adaptive control strategy is proposed.Firstly,a compensation system is designed,which solves the …

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和文静
Adaptive Multi-dimensional Taylor Network Control for Stochastic Nonlinear Systems with Full State Constraints and Dead-zone Input featured image

Adaptive Multi-dimensional Taylor Network Control for Stochastic Nonlinear Systems with Full State Constraints and Dead-zone Input

In this paper,the stochastic nonlinear systems with full state constraints and dead-zone input are considered in the same framework for the first time,and a new adaptive controller …

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李娜
Modulation Recognition of Underwater Acoustic Signals Using Deep Hybrid Neural Networks featured image

Modulation Recognition of Underwater Acoustic Signals Using Deep Hybrid Neural Networks

It is a huge challenge for the receiver to correctly identify the modulation types due to the complex underwater channel environment and severe noise interference, while real-time …

Weilong Zhang
Control Design for Stochastic Nonlinear Systems with Full-state Constraints and Input Delay: A New Adaptive Approximation Method featured image

Control Design for Stochastic Nonlinear Systems with Full-state Constraints and Input Delay: A New Adaptive Approximation Method

In this paper, the full state constraints and input delay of stochastic nonlinear systems are studied. A new adaptive control algorithm is proposed using backstepping approach and …

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李娜
Triangular Micro-Grating via Femtosecond Laser Direct Writing toward High-Performance Polarization-Sensitive Perovskite Photodetectors featured image

Triangular Micro-Grating via Femtosecond Laser Direct Writing toward High-Performance Polarization-Sensitive Perovskite Photodetectors

Thanks to attractive properties, such as defect tolerance, broad bandgap tunability, high quantum yields, and large absorption coefficient, perovskites have emerged as a star …

Xiaoyu Tian
Adaptive Decentralized Control for Large‐scale Nonlinear Systems with Finite‐time Output Constraints by Multi‐ Dimensional Taylor Network featured image

Adaptive Decentralized Control for Large‐scale Nonlinear Systems with Finite‐time Output Constraints by Multi‐ Dimensional Taylor Network

This paper investigates the adaptive decentralized control problem for a class of large-scale nonlinear systems with finite-time output constraints. In order to ensure that the …

Lei Chu
1982—2001年与2002—2021年北极秋季海冰的时空变化及原因 featured image

1982—2001年与2002—2021年北极秋季海冰的时空变化及原因

基于北极海冰密集度、海冰范围、大气环流和海温数据,研究了1982—2001年与2002—2021年两阶段各20 a间北极秋季海冰的时空变化特征及其原因。结果表明,近20 a(2002—2021年)北极海冰密集度的下降中心由过去(1982—2001年)的楚科奇海及白令海峡一带,转移至亚欧大陆海岸的巴伦支海附近,且海冰范围每10 a减少量由0.44×10~ 6 …

Shuyao Li