Yu Tang

Soochow University

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Jianxing Yin

Soochow University

Wennan Zou

Nanchang University

Eduardo Espíndola-López

Ningbo University of Technology

Ileana Grave

Universidad Nacional Autónoma de México

Zhaohang Lee

Nanchang University

Suresh Thenozhi

Autonomous University of Queretaro

Roméo Ortega

Instituto Tecnológico Autónomo de México

Kai‐Tai Fang

Chinese Academy of Sciences

Marco A. Arteaga

Universidad Nacional Autónoma de México

J. Flores

Universidad Nacional Autónoma de México

Cooperative Institutions

Universidad Nacional Autónoma de México

Soochow University

Chinese Academy of Sciences

Chinese Academy of Medical Sciences & Peking Union Medical College

Nanchang University

Nanjing Medical University

Shanghai Jiao Tong University

Jiangsu University

Instituto Politécnico Nacional

Sun Yat-sen University

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Bipartite Locating Array

Acta Mathematica Sinica English Series (2020)

Zong Feng Qi Wen Jie Zhong Yu Tang

Component (thermodynamics)

10.1007/s10114-020-8522-2

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Identification of nonlinear systems with nonlinear parameterization

2022 European Control Conference (ECC) (2015)

A. Flores‐Pérez Ileana Grave Yu Tang

A contraction based identification scheme for systems with nonlinear parameterizations is developed in this paper. Given a system with a general parameterization, an identification model is proposed such that time evolution of estimation error is composed by two blocks of parameterization: one linear and one nonlinear function of linear parameterization. A particular identification algorithm, based on the proportional-integral adaptive scheme, is then formulated. Exponential convergence among the underlined and desired identification systems trajectories is analyzed by means of an averaged version for contraction.

Identification

Nonlinear system identification

10.1109/ecc.2015.7330609

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Citations (4)

Attitude Tracking for Rigid Bodies Using Vector and Biased Gyro Measurements

IEEE Transactions on Automatic Control (2023)

Eduardo Espíndola-López Yu Tang

In this article, rigid-body attitude tracking using vector measurements and gyro rate is studied. A gyro-bias observer and an attitude tracking controller are first devised, which in combination ensure the exponential stability of the desired equilibrium of the overall system. To address inertia-matrix uncertainties and external disturbances, an adaptive controller relying on a modified gyro-bias observer and a disturbance estimator are then developed. Simulations are included to illustrate the proposed adaptive controller under realistic conditions.

Rate gyro

Tracking (education)

Observer (physics)

Tracking system

10.1109/tac.2023.3319460

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Citations (1)

Adaptation in biological networks

Ileana Grave Yu Tang

In this paper a mechanism for parameter identification of a biological system is proposed. The local dynamic is considered nonlinear with parameters nonlinearly parameterized. The results are applied to a glycolitic oscillators.

Identification

Nonlinear dynamical systems

10.1109/ccsse.2014.7224538

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Control of an Autonomous Mobile Robot in Cluttered Environments Guided by a Single CCD Camera

Edgar Campos-Garduño Yu Tang Jianming Du

Control of an autonomous robot moving in cluttered environments guided by a single CCD camera is described in this paper. The objective is to guide the mobile robot to arrive at a goal pose (position and orientation) started from an initial pose in the environment where there may be static obstacles that can be observed by the camera. The control scheme consists in three modules: the control module which ensures the exponential tracking to a desired trajectory; the on-line path/trajectory planning module which plans the desired path using LOS (Light-of-Sight) strategy and then parametrizes it into a trajectory; and the depth-estimation module which takes a sequence of target image along the path in the CCD camera mounted in the mobile robot to estimate the target Cartesian coordinate in the inertial frame and passes it to the path/trajectory module. The trajectory tracking controller and the depth observer are devised relying on the contraction analysis ensuring the exponential convergence in both designs. Simulations are included to illustrate the control scheme.

Observer (physics)

10.1145/3377713.3377749

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Citations (1)

Adaptive control of robots with an improved transient performance

IEEE Transactions on Automatic Control (2002)

Marco A. Arteaga Yu Tang

By using a robust control technique, this note proposes an adaptive control for rigid robots with the following important features: under a parameter-dependent persistent excitation (PE) condition, it gives a guaranteed transient performance of tracking a smooth desired trajectory while assuring the parameter, estimation error to go to a residual set of the origin arbitrarily fast. Simulations are included to support the theoretical results.

Transient (computer programming)

Tracking error

Tracking (education)

10.1109/tac.2002.800672

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Citations (41)

Uniform fractional factorial designs

The Annals of Statistics (2012)

Yu Tang Hongquan Xu Dennis K. J. Lin

The minimum aberration criterion has been frequently used in the selection of fractional factorial designs with nominal factors. For designs with quantitative factors, however, level permutation of factors could alter their geometrical structures and statistical properties. In this paper uniformity is used to further distinguish fractional factorial designs, besides the minimum aberration criterion. We show that minimum aberration designs have low discrepancies on average. An efficient method for constructing uniform minimum aberration designs is proposed and optimal designs with 27 and 81 runs are obtained for practical use. These designs have good uniformity and are effective for studying quantitative factors.

Fractional factorial design

Plackett–Burman design

Factorial

Optimal design

10.1214/12-aos987

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Citations (73)

Global exponential attitude tracking for spacecraft with gyro bias estimation

ISA Transactions (2021)

Eduardo Espíndola-López Yu Tang

Robustness

Tracking error

10.1016/j.isatra.2021.01.041

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Citations (6)

Adaptive robust fuzzy control for output tracking

Yu Tang

This paper gives an adaptive robust fuzzy control design for a class of nonlinear systems represented by input-output models to follow a reference trajectory in the presence of uncertainties. Direct approach to this problem by using fuzzy logic systems (FLS) to approximate the unknown ideal control law (designed when the nonlinear system is known) is followed, and the semi-global stability is established based on the Lyapunov analysis. By combining the advantages of the fuzzy logic reasoning, robust control and adaptive control techniques, the proposed control has the following features: the ability to incorporate in a transparent way an existing control experience into the controller design, robustness to a wide range of uncertainties, reduced a priori information on the nonlinear system and on-line computation load required for its implementation, and semi-global exponential output tracking to the reference signal up to an ultimately bounded error. The effectiveness of this control is demonstrated through simulations.

Robustness

10.23919/acc.2004.1386839

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Citations (10)

Robust tracking control for a parallel electro-coating conveyor with input saturation

2021 China Automation Congress (CAC) (2022)

Mengyang Ye Guoqin Gao Yu Tang

The tracking control issue under the case of input saturation is investigated for a parallel electro-coating conveyor (PECC). A nonlinear disturbance observer (NDO) is developed for estimating the lumped uncertainties in the PECC system, while a saturation compensator system is constructed to cope with the input saturation. Subsequently, to achieve the control precision and system robustness in presence of uncertainties and input saturation, a robust sliding mode control integrating with the NDO and the saturation compensator is presented for the PECC. The uniformly ultimately boundedness (UUB) of the controlled system is proved rigorously. The validity of the robust tracking controller is confirmed with simulation results.

Saturation (graph theory)

Robustness

10.1109/cac57257.2022.10056042

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