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Output Feedback Adaptive Dynamic Surface Control for a Class of Uncertain Nonlinear Systems

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Output Feedback Adaptive Dynamic Surface Control for a Class...

第26届中国控制与决策会议

作者： Yang Jingyu wang qiangde Department of Electrical Engineering and Automation Qufu Normal University

ISBN: (纸本)9781479937066

In this paper, an adaptive output feedback controller was developed for a class of nonlinear systems with unkonwn parameters, uncertain disturbances and unmeasured states. Firstly estimated states was obtained by introducing an observer. Then a controller was developed based on the dynamic surface control approach. Explosion of terms can be avoided because this method no longer needs the repeated differentiations of the virtue control. Only two parameters instead of all the neural networks weights need to be *** the signals of closed-loop systems can be guaranteed semiglobally uniformly ultimately bounded through the analysis of this *** tracking error can be arbitrarily small by choosing the proper design parameters. Simulation studies show the effectiveness of the proposed approach.

关键词： Dynamic Surface Control Output Feedback Adaptive Control Neural Networks

The output feedback control for uncertain nonholonomic systems

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控制理论与应用（英文版） 2006年第2期4卷 128-132页

作者： qiangde wang Chunling WEI Siying ZHANG Institute of Automation Qufu Normal University Qufu Shandong 273165 China Institute of Automation Southeast University Nanjing Jiangsu 210096 China School of Information Science and engineering Northeastern University Shenyang Liaoning 110004 China

This paper considers the problems of almost asymptotic stabilization and global asymptotic regulation （GAR） by output feedback for a class of uncertain nonholonomic systems. By combining the nonsmooth change of coordinates and output feedback domination design together, we construct a simple linear time-varying output feedback controller, which can universally stabilize a whole family of uncertain nonholonomic systems. The simulation demonstrates the effectiveness of the proposed controller.

关键词： Uncertain nonholonomic systems Output feedback Nonsmooth change of coordinates

Adaptive fuzzy tracking control for a class of non-affine stochastic nonlinear high-order multi-agent systems with non-lower triangular structure

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Adaptive fuzzy tracking control for a class of non-affine st...

第32届中国控制与决策会议

作者： Hui wang qiangde wang Chunling Wei Department of Automation Qufu Normal University

This paper considers the problem of the adaptive fuzzy tracking control for a class of high-order multi-agent systems which are non-affine stochastic nonlinear systems without lower triangular *** logic system and mean value theorem are used to overcome the design difficulties in unknown nonlinear and non-affine structures,respectively.A direct adaptive fuzzy control method is proposed by using adaptive control and backstepping *** to Lyapunov stability theory,the proposed controller can ensure that all signals in the closed-loop system are bounded in the sense of mean quartic value,and the output signals of the subsystems can track the output signal of the leader *** results show the effectiveness of the proposed control scheme.

关键词： Adaptive Fuzzy Multiagent-systems Backstepping Non-affine Stochastic nonlinear systems

Adaptive tracking control of multi-agent systems with unknown nonlinear functions and stochastic noises

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Adaptive tracking control of multi-agent systems with unknow...

第三十九届中国控制会议

作者： Hui wang qiangde wang Chunling Wei Department of Automation Qufu Normal University

Under the directed graph connection, this paper deals with the adaptive tracking control of a class of high order multi-agent systems with unknown nonlinear functions and stochastic noises. In view of the unknown nonlinear functions, the radial basis function neural network（RBF-NN） is used to approximate it, further output feedback controller was designed using the adaptive backstepping method. By selecting parameters, this paper proves the design of the adaptive controller can realize that the system output tracking errors can converge to a small enough neighborhood of the origin, and proves that the system states are all bounded and the adaptive parameters are also bounded. Matlab simulation further proves the effectiveness of the designed controller.

关键词： Adaptive control RBF neural network Multi-agent systems Backstepping Stochastic nonlinear systems

Global Robust Output Regulation for High-order Unknown Nonlinear Multi-agent Systems with Unknown Control Directions

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Global Robust Output Regulation for High-order Unknown Nonli...

第32届中国控制与决策会议

作者： Shaoning Liu qiangde wang Chunling Wei Department of Automation Qufu Normal University

In this paper,we study the global robust output regulation for a class of high-order unknown nonlinear multi-agent systems with unknown control directions and unknown exogenous *** to the current results,the challenge existed in this paper is that the exogenous disturbance does not have explicit expression but only the unknown upper bound.A Nussbaum-type function is adopted in the proposed control protocol to resolve the problem of unknown control *** critical contribution of this paper is to use adaptive control technique develop a novel distributed adaptive control protocol based on relative output information without using global information of the *** is proved that all variables in the closed-loop system are bounded and all followers can asymptotically track the leader in the presence of exogenous *** example with the well-known Van der Pol oscillator is presented to illustrate the effectiveness of the proposed control protocol.

关键词： Robust output regulation Unknown control directions Unknown exogenous disturbances High-order nonlinear multi-agent systems

Output Maneuvering Control of Nonlinear Systems with Uncontrollable Unstable Linearization

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Output Maneuvering Control of Nonlinear Systems with Uncontr...

第二十七届中国控制会议

作者： Wei Chunling,wang qiangde College of Electricity Information and Automation,Qufu Normal University,Rizhao 276826,P.R.China

A smooth adaptive maneuvering controller is developed for a class of nonlinear systems with uncontrollable unstable *** the case of the bound of unknown time-varying parameters need not be known,the controller can not only ensure the system output to track a desired path with an arbitrary small error,but also force the tracking speed satisfy a desired speed assignment.

关键词： Output maneuvering Uncontrollable unstable linearization Path and speed assignment Adding a power integrator

Global Output Feedback Asymptotic Stabilization for a Class of Nonlinear Systems

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Global Output Feedback Asymptotic Stabilization for a Class ...

第二十九届中国控制会议

作者： WEI Chunling,wang qiangde College of Electricity Information and Automation,Qufu Normal University,Rizhao 276826,P.R.China

The global asymptotic stabilization problem by output feedback is proposed for a class of nonlinear systems which have uncertain control coefficients and unmeasured states dependent ***,by introducing a novel statet ransformation,the original system is transformed into a new system without uncertain control ***,a suitable observer is applied and an output feedback controller is designed for the new *** is shown that all the signals of the closed-loop system are global asymptotic stabilization by choosing the design parameters properly.

关键词： Nonlinear systems Global stabilization Output feedback States dependent growth

生成式人工智能会给家禽业带来机遇——智能禽业的“人机对话”

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中国禽业导刊 2024年第1期41卷 38-40页

作者：刘强德中国畜牧业协会北京100044

作为新一轮科技革命和产业变革的重要驱动力量,人工智能技术发展与应用拓展正在按下家禽业“快进键”。近期,ChatGPT等生成式人工智能的暴发应用,又为家禽产业“人机对话、智掌未来”提供了无限想象空间。生成式人工智能(AIGC)是利用人... 详细信息

作为新一轮科技革命和产业变革的重要驱动力量,人工智能技术发展与应用拓展正在按下家禽业“快进键”。近期,ChatGPT等生成式人工智能的暴发应用,又为家禽产业“人机对话、智掌未来”提供了无限想象空间。生成式人工智能(AIGC)是利用人工智能技术自动生成内容的新型生产方式。基于大模型、大算力、训练方法等多方面技术突破,生成式人工智能实现了高质量、高效率、多样化的内容生产,成为推动家禽行业数字生产力变革的重要力量。本文介绍智能家禽业发展的五个版本阶段,伴随着新技术的迭代,智能模块也越来越科学、精准,其中,AIGC作为智能禽业4.0和5.0版本的重要技术,基于大数据和通用大模型支撑,实现沉浸式体验的精准“人机对话”,助推家禽业数据管理和决策的高质量发展。

关键词：家禽产业产业变革人工智能技术人机对话家禽业数据管理家禽行业智能模块

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基于虹膜图像特征的噪声检测方法

光电子技术 2009年第1期29卷 37-41页

作者：郑煊王强德刘萌曲阜师范大学自动化研究所山东日照276826 山东教育学院物理科学与技术系济南250013

在虹膜识别系统中,采集得到的图像,除了虹膜信息外,一般还会存在睫毛、眼睑及光源的像点等干扰。这会对虹膜的边界定位和特征提取产生影响,并最终导致识别率降低。通过对眼睑、睫毛、光斑噪声检测的研究,根据噪声的特点,提出一种新的快... 详细信息

在虹膜识别系统中,采集得到的图像,除了虹膜信息外,一般还会存在睫毛、眼睑及光源的像点等干扰。这会对虹膜的边界定位和特征提取产生影响,并最终导致识别率降低。通过对眼睑、睫毛、光斑噪声检测的研究,根据噪声的特点,提出一种新的快速定位眼睑的方法,并对双阈值检测睫毛的方法进行改进。试验结果表明,该方法能有效去除虹膜区域噪声干扰,提高识别率。

关键词：虹膜识别噪声检测直线拟合双阈值