Tao Cai

ORCID: 0000-0001-5513-3271
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Research Areas
  • Advanced Algorithms and Applications
  • Adaptive Control of Nonlinear Systems
  • Metaheuristic Optimization Algorithms Research
  • Advanced Sensor and Control Systems
  • Distributed Control Multi-Agent Systems
  • Fault Detection and Control Systems
  • Iterative Learning Control Systems
  • Robotic Path Planning Algorithms
  • Control and Dynamics of Mobile Robots
  • Advanced Control Systems Design
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Image and Video Retrieval Techniques
  • Differential Equations and Numerical Methods
  • Robotics and Sensor-Based Localization
  • Power Systems and Technologies
  • Advanced Computational Techniques and Applications
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Advanced Measurement and Detection Methods
  • Simulation and Modeling Applications
  • Neural Networks Stability and Synchronization
  • Guidance and Control Systems
  • Control Systems in Engineering
  • Nonlinear Differential Equations Analysis
  • Advanced Control Systems Optimization
  • Advanced Numerical Analysis Techniques

Beijing Institute of Technology
2012-2024

Shandong Institute of Automation
2016-2023

Brookhaven National Laboratory
2007

This article proposes a decomposition-based multi-objective differential evolution particle swarm optimization (DMDEPSO) algorithm for the design of tubular permanent magnet linear synchronous motor (TPMLSM) which takes into account multiple conflicting objectives. In process, objectives are evaluated by an artificial neural network response surface (ANNRS), is trained samples TPMSLM whose performances calculated finite element analysis (FEA). DMDEPSO hybridizes (DE) and (PSO) together,...

10.1080/0305215x.2012.720682 article EN Engineering Optimization 2012-10-03

10.1007/s11768-003-0014-2 article EN Journal of Control Theory and Applications 2003-11-01

10.1007/s11633-006-0041-9 article EN International Journal of Automation and Computing 2006-01-01

This paper investigates the problem of connectivity-preserving flocking multiple autonomous agents with second-order dynamics. First, inverse power iteration algorithm is formulated in a completely distributed manner to estimate algebraic connectivity, i.e., second smallest eigenvalue group Laplacian, as well corresponding eigenvector. Furthermore, gradient-based algorithms that exploit decentralized eigenvalue/eigenvector estimation are developed both steer agent desired motion and maintain...

10.1109/acc.2013.6579963 article EN American Control Conference 2013-06-01

In order to solve the challenging problem of diagnosis for sensor bias and drift faults, a method fault based on least squares support vector machine (LS_SVM) online prediction is proposed. paper, real-time outputs are made full use establish LS_SVM model. Through residual which obtained by comparing model actual output sensor, detection faults can be achieved. Based sequence, on-line identification achieved as well. A established toolbox matlab simulink in this simulation results show that...

10.1109/ramech.2011.6070495 article EN 2011-09-01

Evolutionary search has been widely implemented for the adjustment of controllers' parameters. Nevertheless, structure controllers, which a more important role in control systems, seldom studied. To this end, an evolutionary design method controllers is proposed to optimize both structures and parameters simultaneously article. A controller made up combination some basic components relevant The can be transformed into optimization problem involving (represented by discrete vectors) real...

10.1109/tie.2021.3114700 article EN IEEE Transactions on Industrial Electronics 2021-09-29

This paper investigates a leader-following formation control problem with translational and rotational maneuvers for group of missiles in 3D space. Benefit from the displacements defined neighbors' relative coordinate frames distributed law, whole is able to track leader's trajectory movement rotation after desired shape formed. By incorporating command filters into backstepping-based scheme, flight state constraints overload saturations can be satisfied. It shown that proposed algorithm...

10.1109/access.2019.2950520 article EN cc-by IEEE Access 2019-01-01

In the process of azimuth measuring, output signal a gyro always contains noises caused by drifting and ambient environmental influence. order to reduce recover original signal, conventional digital filtering methods such as IIR FIR could be used. But outputs these filters would distorted or in lack smoothness under some special conditions. Wavelet analysis is suitable this circumstance for its characteristic multi-resolution time frequency localization space. Therefore, wavelet threshold...

10.1109/ccdc.2010.5498275 article EN Chinese Control and Decision Conference 2010-05-01

In this paper, we discussed the simultaneous intervention problem that arises from human-robot teams. The concerns with case one human operator has to intervene several robots at almost same time and it cannot be handled properly by existing methods. A model predictive control(MPC) based mixed initiative controller was proposed solve embedding an intention into optimization problem. This method is in essence suitable for general MPC controllers. embedded may cause robot deviate its desired...

10.1109/iros.2016.7759435 article EN 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2016-10-01

Recently, 3D Gaussian Splatting has dominated novel-view synthesis with its real-time rendering speed and state-of-the-art quality. However, during the process, use of Jacobian affine approximation projection transformation leads to inevitable errors, resulting in blurriness, artifacts a lack scene consistency final rendered images. To address this issue, we introduce an ellipsoid-based method calculate ellipsoid on image plane, witch is primitive Splatting. As our proposed cannot handle...

10.48550/arxiv.2411.07579 preprint EN arXiv (Cornell University) 2024-11-12

Cooperative adaptive cruise control(CACC), as one of the most important technologies intelligent transportation system(ITS), combines control(ACC) with short range communication(DSRC), which can make platooning distance much more smaller and avoid collision efficiently. As we all know, information vehicles receive from platoon, better overall stability keep. However, that will lead to an increase in communication resource consumption cause signal interference surrounding vehicles. Therefore,...

10.1109/icca.2018.8444177 article EN 2018-06-01

Disturbance widely exists in control system. Active disturbance rejection (ADRC) has been proved to be an efficient way deal with and achieves great success practice. The most important part of ADRC is extended state observer (ESO), which estimates the states system total disturbance. ESO regards internal external as a disturbance, it eliminates control. faster more quickly controller it. This paper focuses on discrete linear (DLESO), presents predictive (DPLESO). Stability performances are...

10.1109/chicc.2016.7554281 article EN 2016-07-01

Fault diagnosis based on the wavelet packet decomposition, one-against-one support vector machine (SVM) and genetic algorithm (GA) is proposed in order to realize real-time sensor fault accurately. The input feature vectors of SVM are produced by decomposition output signal. GA used obtain optimal parameters network model automatically, which can enhance training speed performance. experiments photoelectric encoder show that combination these methods makes own a better recognition rate...

10.1109/icicip.2011.6008360 article EN 2011-07-01

10.1016/j.jfranklin.2021.07.008 article EN Journal of the Franklin Institute 2021-07-14
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