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Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 83-95 doi: 10.1631/FITEE.1500334

Abstract: To generalize the operator to nonlinear functions, we define a restricted version of the HR operatorUsing the new rules, we derive explicit expressions for the derivatives of a class of regular nonlinearAs an application, the derivation of the least mean square algorithm and a nonlinear adaptive algorithm

Keywords: Quaternion     Gradient operator     Signal processing     Least mean square (LMS) algorithm     Nonlinear adaptivefiltering     Adaptive beamforming    

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: by the possibility theory and certainty factor model; and the diagnosis method on the basis of the adaptivefiltering technique and fuzzy neural network.

Keywords: intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty Review

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 1913-1939 doi: 10.1631/FITEE.1700379

Abstract: In particular, specific attention is paid to nonlinear systems with an informative observation, multimodal

Keywords: Kalman filter     Gaussian filter     Time series estimation     Bayesian filtering     Nonlinear filtering     Constrainedfiltering     Gaussian mixture     Maneuver     Unknown inputs    

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 andlow velocity tracking, severe disturbance, periodic disturbance, etc.; to handle various challenges, nonlinearsolutions including parameter adaptation, nonlinear robust control, state and disturbance observationresearch topics (measurement noise, constraints, inner valve dynamics, input nonlinearity, etc.) in nonlinear

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

Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear Article

Xiao-yu ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1331-1343 doi: 10.1631/FITEE.1500318

Abstract: Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presentedThe overall system is adaptive, asymptotically stable, and chattering-free.

Keywords: Nonlinear system     Discrete system     Dynamic fuzzy logical system     Direct adaptive     Sliding mode control    

Research of the Exponential Smoothing Technology forForecasting Slope Displacement

Shen Liangfeng

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 94-97

Abstract:

Exponential smoothing is an efficient method for forecasting and decision-making.  The forecasting model of exponential smoothing to forecast the displacement at Observation Point 5 of certain city hazardous landslide is applied in this paper. According to the characteristics of observation forecast formula with linear trend of the twice exponential smoothing,  appropriate formulae calculating at,  bt and suitable exponential smoothing value are selected and used to make a forecast. The forecast results show that the errors between the forecast values and the observation values are very little. And it shows that this model may be well applied to the forecast of the displacement in the deformation of slopes.

Keywords: exponential smoothing     forecasting slope displacement self-adaptive filtering    

Power maximization of variable-speed variable-pitch wind turbines using passive adaptive neural fault

Hamed HABIBI, Hamed RAHIMI NOHOOJI, Ian HOWARD

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 377-388 doi: 10.1007/s11465-017-0431-4

Abstract: The question of how to address optimal power capture, especially when the system dynamics are nonlinearcontrol methodology for variable-speed variable-pitch wind turbines including the effects of uncertain nonlinearThe nonlinear model of the wind turbine is presented, and the problem of maximizing extracted energyWith the known system, a model-based nonlinear controller is designed; then, to handle uncertainties,The adaptive neural fault tolerant control is designed passively to be robust on model uncertainties,

Keywords: wind turbine nonlinear model     maximum power tracking     passive fault tolerant control     adaptive neural control    

Constant-gain nonlinear adaptive observers revisited: an application to chemostat systems Research Articles

Jorge A. Torres, Arno Sonck, Sergej Čelikovský, Alma R. Dominguez,jtorres@ctrl.cinvestav.mx,gsonck@ctrl.cinvestav.mx,celikovs@utia.cas.cz,adomin@cinvestav.mx

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000368

Abstract: This study deals with constant-gain for nonlinear systems, for which relatively few solutions are availableWe introduce an asymptotic observer of constant gain for nonlinear systems that have linear input.The proposed observer is then applied to a large class of nonlinear dynamical systems that are widely

Keywords: Nonlinear observers     Adaptive observers     Coordinate change     Chemostat     Pollutant observation    

on the ultrasonic distance measurement system for seabed coblat crusts microtopography based on LMS adaptive

Liu Ai’jun,Zhou Zhijin,Bu Yingyong,Long Yingchun

Strategic Study of CAE 2009, Volume 11, Issue 8,   Pages 79-82

Abstract:

ccording to the principle of single-beam measurement, using ultrasonic transducer ultrasound wave was launched to the seabed floor. Ultrasonic transducer sent ultrasonic signal as a reference signal,the echo signal was delayed several times. Through continuous adjustment of the quantity of delay time, the minimum mean square (LMS) error was gained between the reference signal and the echo signal. The delay time equals to promulgation time. The product of delay time and ultrasonic wave velocity is the distance between ultrasonic transducer and seabed floor. Computer simulation and test results indicated that using minimum mean square error method to measure seabed microtopography, the high precision can be obtained. It can be applied to the seabed microtopography survey.

Keywords: deep-sea coblat-crusts     microtopography     LMS     single-beam measurement     adaptive filtering    

Adaptive Extension Controller Design for Nonlinear Systems

Wong Qingchang,Chen Zhenyuan

Strategic Study of CAE 2001, Volume 3, Issue 7,   Pages 54-58

Abstract: The proposed adaptive extension control resulting from the direct adaptive approach is employed to directlyFinally, a nonlinear system simulation example is applied to verifying the effectiveness and the abilityof the proposed adaptive extension controller.

Keywords: extension theory     adaptive control     extension controller     robust stability    

A systematic review of current and emergent manipulator control approaches

Syed Ali AJWAD,Jamshed IQBAL,Muhammad Imran ULLAH,Adeel MEHMOOD

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 198-210 doi: 10.1007/s11465-015-0335-0

Abstract: This recent trend is further justified by the fact that the robotic manipulators have complex nonlinear

Keywords: robot control     robust and nonlinear control     adaptive control     intelligent control     industrial manipulators    

Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900610

Abstract: We present a novel indirect adaptive fuzzy-regulated optimal control scheme for continuous-time nonlinearHamilton-Jacobi-Bellman (HJB) equation associated with its performance function is derived for the original nonlinearUnlike existing adaptive dynamic programming (ADP) approaches, this scheme uses a special non-quadraticAn adaptive structure is correspondingly constructed to configure the weighting matrix of the performanceBased on this particular critic, an adaptive optimal feedback controller is developed as the actor with

Keywords: Indirect adaptive optimal control     Hamilton-Jacobi-Bellman equation     Fuzzy-regulated critic     Adaptiveoptimal control actor     Actor-critic structure     Unknown nonlinear systems    

Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings Article

Ye YUAN, Yu-kun SUN, Qian-wen XIANG, Yong-hong HUANG, Zhi-ying ZHU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 2035-2045 doi: 10.1631/FITEE.1700324

Abstract: To solve these problems, a model-free adaptive control (MFAC) scheme is proposed for a three-degree-of-freedomauxiliary bearings with different inner diameters, and two kinds of operation situations (linear and nonlinear

Keywords: Model-free adaptive control     Hybrid magnetic bearings     Nonlinear areas     Faster response     Higher stability    

Ion beam figuring of continuous phase plates based on the frequency filtering process

Mingjin XU,Yifan DAI,Xuhui XIE,Lin ZHOU,Shengyi LI,Wenqiang PENG

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 1,   Pages 110-115 doi: 10.1007/s11465-017-0430-5

Abstract: This study proposes a multi-pass IBF approach with different beam diameters based on the frequency filteringWe present the selection principle of the frequency filtering method, which incorporates different removalA high-precision surface can be obtained as long as the filtering frequency is suitably selected.

Keywords: beam figuring (IBF)     continuous phase plates (CPPs)     machining accuracy     machining efficiency     frequency filtering    

Filtering and tracking with trinion-valued adaptive algorithms Article

Xiao-ming GOU,Zhi-wen LIU,Wei LIU,You-gen XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 834-840 doi: 10.1631/FITEE.1601164

Abstract: compact and computationally more efficient, while having similar or comparable performance in terms of adaptivelinear filtering., the trinion model can effectively represent the general relationship of state evolution in Kalman filtering

Keywords: Three-dimensional processes     Trinion     Least mean squares     Kalman filter    

Title Author Date Type Operation

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Journal Article

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Journal Article

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

Jianyong YAO

Journal Article

Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear

Xiao-yu ZHANG

Journal Article

Research of the Exponential Smoothing Technology forForecasting Slope Displacement

Shen Liangfeng

Journal Article

Power maximization of variable-speed variable-pitch wind turbines using passive adaptive neural fault

Hamed HABIBI, Hamed RAHIMI NOHOOJI, Ian HOWARD

Journal Article

Constant-gain nonlinear adaptive observers revisited: an application to chemostat systems

Jorge A. Torres, Arno Sonck, Sergej Čelikovský, Alma R. Dominguez,jtorres@ctrl.cinvestav.mx,gsonck@ctrl.cinvestav.mx,celikovs@utia.cas.cz,adomin@cinvestav.mx

Journal Article

on the ultrasonic distance measurement system for seabed coblat crusts microtopography based on LMS adaptive

Liu Ai’jun,Zhou Zhijin,Bu Yingyong,Long Yingchun

Journal Article

Adaptive Extension Controller Design for Nonlinear Systems

Wong Qingchang,Chen Zhenyuan

Journal Article

A systematic review of current and emergent manipulator control approaches

Syed Ali AJWAD,Jamshed IQBAL,Muhammad Imran ULLAH,Adeel MEHMOOD

Journal Article

Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Journal Article

Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings

Ye YUAN, Yu-kun SUN, Qian-wen XIANG, Yong-hong HUANG, Zhi-ying ZHU

Journal Article

Ion beam figuring of continuous phase plates based on the frequency filtering process

Mingjin XU,Yifan DAI,Xuhui XIE,Lin ZHOU,Shengyi LI,Wenqiang PENG

Journal Article

Filtering and tracking with trinion-valued adaptive algorithms

Xiao-ming GOU,Zhi-wen LIU,Wei LIU,You-gen XU

Journal Article