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Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives

Jianyong YAO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 179-210 doi: 10.1007/s11465-018-0464-3

Abstract: Essential nonlinearity is a unique feature and makes model-based nonlinear control more attractive, dueIn this paper, a discussion for challenges in model-based nonlinear control, latest developments andbrief perspectives of hydraulic servo systems are presented: Modelling uncertainty in hydraulic systemlow velocity tracking, severe disturbance, periodic disturbance, etc.; to handle various challenges, nonlinearsolutions including parameter adaptation, nonlinear robust control, state and disturbance observation

Keywords： hydraulic servo system     adaptive control     robust control     nonlinear friction     disturbance compensation     repetitive    

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Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 183-197 doi: 10.1007/s11705-021-2073-7

Abstract: Flowsheet simulations of chemical processes on an industrial scale require the solution of large systemsof nonlinear equations, so that solvability becomes a practical issue.

Keywords： machine learning     flowsheet simulations     constraints     exploration    

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reference tracking control design for a class of nonlinear systems with time-varying delays

Mei-qin LIU,Hai-yang CHEN,Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 759-768 doi: 10.1631/FITEE.1500053

Abstract: This paper investigates the trajectory tracking control for a class of nonlinear systems with timevaryingA unified model consisting of a linear delayed dynamic system and a bounded static nonlinear operatoris introduced, which covers most of the nonlinear systems with bounded nonlinear terms, such as theone-link robotic manipulator, chaotic systems, complex networks, the continuous stirred tank reactor

Keywords： H∞     reference tracking     Nonlinear system     State feedback control     Time-varying delays     Unified model    

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Classical state feedback controller for nonlinear systems using mean value theorem: closed loop-FOC of

Abrar ALLAG,Abdelhamid BENAKCHA,Meriem ALLAG,Ismail ZEIN,Mohamed Yacine AYAD

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 413-425 doi: 10.1007/s11708-015-0379-1

Abstract: The problem of state feedback controllers for a class of Takagi-Sugeno (T-S) Lipschitz nonlinear systemsThe proposed design approach is based on the mean value theorem (MVT) to express the nonlinear errorconvex combination of known matrices with time varying coefficients as linear parameter varying (LPV) systems

Keywords： Takagi-Sugeno (T-S) fuzzy systems     sector nonlinearity     nonlinear controller     linear matrix inequality (    

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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: predictive control, can offer superior control of key process variables for multiple-input multiple-output systemsThis work articulates an integrated system identification procedure for deriving black-box nonlinearcontinuous-time multiple-input multiple-output system models for nonlinear model predictive control.model predictive controller for a highly nonlinear continuous stirred tank reactor system.This demonstration of how such system models could be identified for nonlinear model predictive control

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machine    

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High-gain Sliding Mode Output Tracking for Nonlinear Systems

Wang Xinhua,Chen Zengqiang,Yuan Zhuzhi

Strategic Study of CAE 2004, Volume 6, Issue 2,   Pages 38-43

Abstract:

An observer based on external and internal dynamics is designed, making the error between observing value and factual value to zero. Moreover, a continuously high-gain sliding mode controller is presented by using a sliding mode state which can make the error between the output and reference signal converge to zero. The analysis of stability and the result of simulation indicate that the controller designed has strong robustness and rapid convergence.

Keywords： nonlinear systems     external dynamics     internal dynamics     sliding mode control     robustness    

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Numerical analysis of strongly nonlinear oscillation systems using He’s max-min method

H. BABAZADEH, G. DOMAIRRY, A. BARARI, R. AZAMI, A. G. DAVODI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 4,   Pages 435-441 doi: 10.1007/s11465-011-0243-x

Abstract:

Nonlinear functions are crucial points and terms in engineering problems.method called the max-min method for presenting an accurate approximate analytical solution to strong nonlinearIt can solve many linear or nonlinear differential equations without the tangible restriction of sensitivityto the degree of the nonlinear term.

Keywords： min-max method     nonlinear oscillation     duffing equation     mathematical pendulum     He’s energy balance method    

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Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered Research Articles

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000034

Abstract: We study the problem for high-order heterogeneous nonlinear under distributed event-triggered schemes

Keywords： Multi-agent systems     Distributed event-triggered control     Containment control     Heterogeneous nonlinearsystems     Zeno behavior    

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Aseismic smart building isolation systems under multi-level earthquake excitations: Part I, conceptualdesign and nonlinear analysis

Min-Ho CHEY,J. Geoffrey CHASE,John B. MANDER,Athol J. CARR

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 3,   Pages 286-296 doi: 10.1007/s11709-015-0307-9

Abstract: control strategy, tuned mass damper (TMD) inspired passive and semi-active smart building isolation systemsThe seismic performance of the suggested isolation systems are investigated for 12-story reinforced concreteBased on nonlinear structural models, including P-delta effects and modified Takeda hysteresis, the inelasticResults show that semi-active smart building isolation systems can effectively manage seismic responsefor multi-degree-of freedom (MDOF) systems across a broader range of ground motions in comparison to

Keywords： tuned mass damper     smart building isolation     resettable device     non-linear     statistical assessment    

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An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 801-816 doi: 10.1007/s11708-020-0687-y

Abstract: In view of the disadvantages of the traditional energy supply systems, such as separate planning, separatedesign, independent operating mode, and the increasingly prominent nonlinear coupling between varioussub-systems, the production, transmission, storage and consumption of multiple energy sources are coordinatedThen, the state consistency equations and constraints of the coupling nodes for multiple energy sub-systems

Keywords： integrated energy system     state estimation     electricity-gas coupling energy system     nonlinear coupling     distributed    

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Polynomial robust observer implementation based passive synchronization of nonlinear fractional-ordersystems with structural disturbances

Alain Soup Tewa Kammogne, Michaux Noubé Kountchou, Romanic Kengne, Ahmad Taher Azar, Hilaire Bertrand Fotsin, Soup Teoua Michael Ouagni,kouaneteoua@yahoo.fr,aazar@psu.edu.sa,ahmad.azar@fci.bu.edu.eg

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900430

Abstract: polynomial observer is designed based on passive synchronization of a given class of r Colpitts (FOC) systemsof the controller but also allows the derived adaptation law to remove the uncertainties within the nonlinearThe proposed approach depicts an efficient and systematic control procedure for a large class of nonlinearsystems with the fractional derivative.
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Event-triggered dynamic output-feedback control for a class of Lipschitz nonlinear systems Research Article

Zhiqian LIU, Xuyang LOU, Jiajia JIA

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1684-1699 doi: 10.1631/FITEE.2100552

Abstract: First, a continuous-time controller is constructed and sufficient conditions for stability of the nonlinearsystems are presented.Sufficient conditions for stability of the closed-loop system are established in the framework of hybrid systems

Keywords： Lipschitz nonlinear system     Dynamic output-feedback control     Event-triggered control     Global asymptotic    

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Identification of important factors influencing nonlinear counting systems Research Article

Xinmin ZHANG, Jingbo WANG, Chihang WEI, Zhihuan SONG,xinminzhang@zju.edu.cn,wangjingbobo@zju.edu.cn,chhwei@zju.edu.cn,songzhihuan@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 123-133 doi: 10.1631/FITEE.2000324

Abstract: Identifying factors that exert more influence on system output from data is one of the most challenging tasks in science and engineering. In this work, a of the (SA-GGPR) model is proposed to identify of the . In SA-GGPR, the GGPR model with Poisson likelihood is adopted to describe the . The GGPR model with Poisson likelihood inherits the merits of nonparametric kernel learning and Poisson distribution, and can handle complex s. Nevertheless, understanding the relationships between model inputs and output in the GGPR model with Poisson likelihood is not readily accessible due to its nonparametric and kernel structure. SA-GGPR addresses this issue by providing a quantitative assessment of how different inputs affect the system output. The application results on a simulated and a real have demonstrated that the proposed SA-GGPR method outperforms several state-of-the-art methods in identification accuracy.

Keywords： Important factors     Nonlinear counting system     Generalized Gaussian process regression     Sensitivity analysis    

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Leader-following consensus of second-order nonlinear multi-agent systems subject to disturbances None

Mao-bin LU, Lu LIU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 88-94 doi: 10.1631/FITEE.1800611

Abstract: study, we investigate the leader-following consensus problem of a class of heterogeneous secondorder nonlinearmulti-agent systems subject to disturbances.In particular, the nonlinear systems contain uncertainties that can be linearly parameterized.By Barbalat’s lemma, we demonstrate that consensus of the second-order nonlinear multi-agent system can

Keywords： Multi-agent systems     Leader-following consensus     Distributed control    

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New nonlinear stiffness actuator with predefined torque‒deflection profile

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0721-3

Abstract: A nonlinear stiffness actuator (NSA) could achieve high torque/force resolution in low stiffness range

Keywords： compliant actuator     nonlinear stiffness actuator     nonlinear spring     predefined torque−deflection profile    

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Title Author Date Type Operation

Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives

Jianyong YAO

Journal Article

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Journal Article

reference tracking control design for a class of nonlinear systems with time-varying delays

Mei-qin LIU,Hai-yang CHEN,Sen-lin ZHANG

Journal Article

Classical state feedback controller for nonlinear systems using mean value theorem: closed loop-FOC of

Abrar ALLAG,Abdelhamid BENAKCHA,Meriem ALLAG,Ismail ZEIN,Mohamed Yacine AYAD

Journal Article

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Journal Article

High-gain Sliding Mode Output Tracking for Nonlinear Systems

Wang Xinhua,Chen Zengqiang,Yuan Zhuzhi

Journal Article

Numerical analysis of strongly nonlinear oscillation systems using He’s max-min method

H. BABAZADEH, G. DOMAIRRY, A. BARARI, R. AZAMI, A. G. DAVODI

Journal Article

Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Journal Article

Aseismic smart building isolation systems under multi-level earthquake excitations: Part I, conceptualdesign and nonlinear analysis

Min-Ho CHEY,J. Geoffrey CHASE,John B. MANDER,Athol J. CARR

Journal Article

An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Journal Article

Polynomial robust observer implementation based passive synchronization of nonlinear fractional-ordersystems with structural disturbances

Alain Soup Tewa Kammogne, Michaux Noubé Kountchou, Romanic Kengne, Ahmad Taher Azar, Hilaire Bertrand Fotsin, Soup Teoua Michael Ouagni,kouaneteoua@yahoo.fr,aazar@psu.edu.sa,ahmad.azar@fci.bu.edu.eg

Journal Article

Event-triggered dynamic output-feedback control for a class of Lipschitz nonlinear systems

Zhiqian LIU, Xuyang LOU, Jiajia JIA

Journal Article

Identification of important factors influencing nonlinear counting systems

Xinmin ZHANG, Jingbo WANG, Chihang WEI, Zhihuan SONG,xinminzhang@zju.edu.cn,wangjingbobo@zju.edu.cn,chhwei@zju.edu.cn,songzhihuan@zju.edu.cn

Journal Article

Leader-following consensus of second-order nonlinear multi-agent systems subject to disturbances

Mao-bin LU, Lu LIU

Journal Article

New nonlinear stiffness actuator with predefined torque‒deflection profile

Journal Article