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第32届中国控制与决策会议

作者： Xuming Wang Hao Sun Shihua Li Jun Yang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

The fuel quantity actuator is a significant component in the position-controlled fuel injection pump,which controls the fuel quantity injected into the diesel *** the fuel quantity actuator system,there are nonlinearities and multi-source disturbances which result in significant degradations of control performance and increase the difficulty of *** researches merely consider the constant disturbance in the fuel quantity actuator system but ignore the existing harmonic disturbance,as a result,it is hard to achieve excellent control performance in the presence of harmonic *** paper analyses the working principle of system in detail,considers multiple sources of disturbances,and then establishes the nonlinear mathematical model with multi-source disturbances including constant disturbances and harmonic ***,a baseline chattering free continuous sliding mode controller is *** the baseline controller,the feedback linearization technique is applied to handle the *** order to further reduce the steady-state fluctuation,a multi-source disturbance observer composed of a disturbance observer（DOB） and a harmonic disturbance observer（HDOB） is employed to estimate the multi-source disturbances and the estimations are used for *** this end,a multi-source disturbance observer based continuous sliding mode control approach is *** guaranteeing robustness and free chattering,the steady-state fluctuation is reduced effectively since the switch function gain in the continuous control law can be selected *** simulation validates the proposed control approach.

关键词： Multi-source disturbance Harmonic disturbance observer Continuous sliding mode control Fuel quantity actuator

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Asymptotically Tracking and Dynamic Regulation of SISO Nonlinear System Based on Multi-dimensional Taylor Network controller

Asymptotically Tracking and Dynamic Regulation of SISO Nonli...

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International Conference on control, Automation and systems

作者： An-Ming Kang Hong-Sen Yan School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479999767

This paper deals with the problem of output feedback control of SISO nonlinear systems based on the multi-dimensional Taylor network (MTN) controller. It adopts the MTN controller as a network structure controller and the differential geometry as an analysis tool. It proves that, when the given conditions are met, the reference signal can be asymptotically tracked by the MTN controller. And also, it proves the MTN controller can realize the closed-loop system dynamic regulation. Finally, an example is given to prove the correctness of above.

关键词： Asymptotically tracking Dynamic Regulation SISO Nonlinear System Multi-dimensional Taylor Network (MTN) controller

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Robust Consensus Tracking for Double-Integrator Dynamics without Velocity measurements

Robust Consensus Tracking for Double-Integrator Dynamics wit...

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第27届中国控制与决策会议

作者： Qingling Wang Changyin Sun School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements on detailed balanced directed communication topologies,where agents' dynamics are subject to uncertain and external *** first construct the controller for multi-agent systems without uncertain and external ***,combined with the controller,one modifying uncertainty and disturbance estimator(UDE) is proposed to approximate the situation where neither the velocity measurements nor its asymptotic estimation is *** is shown that the synchronization errors are bounded and their ultimate bounds could be arbitrarily small by choosing some parameters *** results are presented to show the effectiveness of the controllers.

关键词： Second-order consensus,without velocity measurements,uncertainty and disturbance estimator,M-matrix.

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The First Five Years of a Phase Theory for complex systems and Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1728-1743页

作者： Dan Wang Wei Chen Li Qiu Division of Decision and Control Systems KTH Royal Institute of TechnologyStockholm 10044Sweden Department of Mechanics and Engineering Science&the State Key Laboratory for Turbulence and Complex Systems Peking UniversityBeijing 100871China Hong Kong University of Science and Technology Hong KongChinaand also with the Southern University of Science and TechnologyShenzhen 518055China

In this paper,we review the development of a phase theory for systems and networks in its first five years,represented by a trilogy:Matrix phases and their properties;The MIMO LTI system phase response,its physical interpretations,the small phase theorem,and the sectored real lemma;The synchronization of a multi-agent network using phase *** the end,we also summarize a list of ongoing research on the phase theory and speculate what will happen in the next five years.

关键词： Consensus and synchronization matrix phases multi-agent systems phase theory sectored real lemma small phase theorem.

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Intelligent Video Analysis-based Forest Fires Smoke Detection Algorithms

Intelligent Video Analysis-based Forest Fires Smoke Detectio...

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International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery

作者： Min Cai Xiaobo Lu Xuehui Wu Yifei Feng School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781509040940

In order to discover forest fire as early as possible, forest fire detection should focus on the smoke in early fire. This paper focuses on three key issues: motion segmentation, feature extraction and classifier design. Background subtraction based on visual background extractor (Vibe) is chosen to divide suspected smoke area when taking into account the accuracy and time consumption. And then do some corresponding morphological processing. Later on, various static and dynamic characteristics of smoke were extracted and different tests were done based on different feature combinations in forest fire smoke detection system. Lots of smoke detecting system only think about static features which will result in a certain degree of misjudgment. Analyzing the false positive rate and recognition rate of these experiments' results, the combination of movement direction, high-frequency energy based on wavelet transformation and compactness is selected to constitute the final recognition vectors. In addition, the continuity which is not mentioned in other researches won't be ignored in this paper. The final experimental results showed that the accuracy rate of this method for smoke detection could reach 92.7%.

关键词： Smoke detection Vibe Feature extraction Support vector machine

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Nonlinear Disturbance Observer Based Sliding Mode control for PWM-Based DC-DC Boost Converter systems

Nonlinear Disturbance Observer Based Sliding Mode Control fo...

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第27届中国控制与决策会议

作者： Junxiao Wang Shihua Li Jingwen Fan Qi Li Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University

This paper investigates a nonlinear disturbance observer(NDOB) based sliding mode control(SMC) approach for PWM-based DC-DC boost converter systems subject to resistance load disturbances and input voltage *** designing a novel sliding mode manifold incorporated with a disturbance estimation technique,a NDOB-based SMC method is designed for these systems.A rigorous stability analysis is *** compared with the nominal SMC method,the proposed method obtains a better disturbance rejection ability when the resistance load and input voltage are *** comparison results are provided to verify the effectiveness of the proposed control method.

关键词： DC-DC boost converter systems,resistance load disturbances,input voltage variation,nonlinear disturbance observer(NDOB),sliding-mode control(SMC)

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Asymptotical stabilization of linear distributed parameter switched systems

Asymptotical stabilization of linear distributed parameter s...

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第26届中国控制与决策会议

作者： Leping Bao Shumin Fei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University

In this paper, the asymptotical stabilization problem for ordinary differential equations switched systems has been extended to distributed parameter switched systems(DPSS) in Hilbert space. Based on semigroup and operator theory, sufficient conditions of asymptotical stabilization for linear DPSS are derived in linear operator inequalities(LOIs)framework. Being applied to three dimensional switched heat propagation equations, we transform the LOIs into the linear matrix inequalities(LMIs), which has the advantage of being numerically well tractable by using matlab software. In particular, the state feedback gain matrices are designed. Two examples are given to illustrate the proposed results.

关键词： Distributed parameter switched system,semigroup,Lyapunov function,asymptotical stabilization,linear operator inequalities.

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Adaptive Wavelet Packet Filter-Bank Based Acoustic Feature for Speech Emotion Recognition

Adaptive Wavelet Packet Filter-Bank Based Acoustic Feature f...

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2013年中国智能自动化学术会议

作者： Yue Li Guobao Zhang Yongming Huang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

In this paper,a wavelet packet based adaptive filter-bank construction method is proposed,with additive Fisher ratio used as wavelet packet tree pruning criterion.A novel acoustic feature named discriminative band wavelet packet power coefficients(db-WPPC) is proposed and on this basis,a speech emotion recognition system is *** results show that the proposed feature improves emotion recognition performance over the conventional MFCC feature.

关键词： Speech emotion recognition Wavelet packets Filter-bank design Speech signal processing

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Fault Detection Method of Photovoltaic System Based on Power Change of Array

Fault Detection Method of Photovoltaic System Based on Power...

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2021年第四届算法、计算和人工智能国际会议

作者： Chao Tan Chenxi Li Kanjian Zhang Haikun Wei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast University

The fault detection of photovoltaic power generation system is of great significance in photovoltaic plant management. The conventional fault detection method of photovoltaic power system requires additional sensors, and the fault detection scheme needs to be redesigned if the parameters of the photovoltaic plant ***, for large photovoltaic plants, it is necessary to develop a method that does not require the use of external sensors or the detailed parameters of the photovoltaic plant. This paper proposes a photovoltaic system fault detection method based on photovoltaic array current and voltage data. This method does not require additional sensor data such as irradiance and temperature. The failure of photovoltaic system can be detected through the change of power,and the abnormal situation of photovoltaic power station can still be detected under cloudy and shaded conditions. The advantages of this method are that there is no need for complex and diverse sensor equipment, the calculation is simple and the fault detection ability is accurate. The experimental data of Padang Poverty Power Station of State Grid has been verified.

关键词： Photovoltaic System(PVS) Fault detection algorithm Electrical data Sensorless Power characteristics

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Smooth and Time-optimal Improved-Bezier Trajectory Planning Based on Dynamics for Industrial Robots

Smooth and Time-optimal Improved-Bezier Trajectory Planning ...

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第43届中国控制会议

作者： Wei Cai Yahui Gan Fang Fang Bo Zhou Xianzhong Dai School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper presents a smooth and time-optimal improved-Bezier trajectory planning algorithm that addresses the avoidance of solving switching points and solves the problem of discontinuous torque on the basis of the time-optimal path parameterization(TOPP) algorithm. The proposed approach employs the TOPP-RA algorithm with a friction model, to construct the optimal velocity trajectory under the constraints of the geometric paths and joint torques. Moreover, the proposed algorithm utilizes an enhanced Bezier curve instead of the jerk constraint in the trajectory optimization model to achieve a smooth trajectory. The modified Bezier curve optimizes the peaks of the pseudo-velocity curve in the phase plane to change the discontinuity of joint torque. The proposed algorithm ensures absolute time optimality and achieve a s mooth tr ajectory. The results of the MATLAB simulation experiment on a two-link motion system indicate the validity of the proposed algorithm.

关键词： time-optimal smooth trajectory planning improved-Bezier trajectory

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