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A clustering-based method for fuzzy modeling

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 1999年第6期E82D卷 1058-1065页

作者： Wong, CC Chen, CC Tamkang Univ Dept Elect Engn Taipei Hsien Taiwan

In this paper, a clustering-based method is proposed for automatically constructing a multi-input Takagi-Sugeno (TS) fuzzy model where only the input-output data of the identified system are available. The TS fuzzy model is automatically generated LS the process of structure identification and parameter identification. In the structure identification step, a clustering method is proposed to provide a systematic procedure to partition the input space so that the number of Fuzzy rules and the shapes of fuzzy sets in the premise part are determined from the given input-output data. In the parameter identification step, the recursive least-squares algorithm is applied to choose the parameter values in the consequent part from the given input-output data. Finally, two examples are used to illustrate the effectiveness of the proposed method.

关键词： fuzzy modeling data clustering recursive least-squares algorithm

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AFD-DFE Using Constraint-Based RLS and Phase Noise Compensation for Uplink SC-FDMA

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2017年第5期66卷 4435-4443页

作者： Iqbal, Naveed Zerguine, Azzedine King Fahd Univ Petr & Minerals Dept Elect Engn Dhahran 31261 Saudi Arabia

In this paper, we develop a constraint-based block recursive least-squares (CRLS) for an adaptive frequency-domain decision feedback equalizer (AFD-DFE) in uplink single-carrier frequency division multiple access systems. For the AFD-DFE, both the feedforward and feedback filters are implemented in the frequency domain;therefore, the CRLS complexity can be reduced substantially when compared to its time-domain counterpart by exploiting the matrix structure in the frequency domain. The performance of the CRLS algorithm is better than that of the RLS when applied to the AFD-DFE, with no increase in the computational complexity. Our designed AFD-DFE with CRLS not only enjoys a lower computational complexity when compared to the frequency-domain channel-estimate-based minimum mean square error DFE (MMSE DFE), but its performance is also better than that of the MMSE DFE with decision errors (practical case) and is close to the MMSE DFE with correct decisions (ideal case). Moreover, we iteratively compensate the transmitter and receiver phase noise using its properties in the time and frequency domains. Simulation results demonstrate the robustness of our designed AFD-DFE using CRLS.

关键词： Adaptive decision feedback equalization phase noise recursive least-squares algorithm single carrier frequency division multiple access (SC-FDMA)

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MULTIVARIABLE ADAPTIVE CONTROLLER FOR A TURBOGENERATOR

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IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS 1986年第2期133卷 83-89页

作者： SHARAF, SMZ HOGG, BW ABDALLA, OH ELSAYED, ML HELWAN UNIV GARDEN CITYEGYPT

The paper describes the design and application of an adaptive controller which overcomes the nonlinearity of the turbogenerator system. The controller tracks the operating conditions and updates an optimal controller as conditions change. Modelling of the turbogenerator employs an output prediction equation and recursive least-squares algorithm. The design uses identified input/output models, obtained over a range of operating conditions in the PQ-plane. Optimal controllers are designed offline for each zone of the PQ-plane and stored in online memory as a look-up table. The computer monitors the operating conditions of the generator and selects the corresponding optimal controller. The paper presents a practical comparison between the fixed-gain and the look-up-table controllers over a wide range of operating conditions, with various fault conditions, including transient stability boundaries of each controller. The results show that a very high quality of control may be achieved using this adaptive controller.

关键词： turbogenerator a.c. machines Power engineering computing multivariable control systems Multivariable control systems output prediction equation transient stability boundaries recursive least-squares algorithm fixed-gain Control of electric power systems Self-adjusting control systems Optimal control control system synthesis turbogenerators look-up-table controllers adaptive controller optimal control Control engineering computing optimal controller computerised control Control system analysis and synthesis methods multivariable controller adaptive control

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Harmonic regressor: Robust solution to least-squares problem

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING 2013年第8期227卷 662-668页

作者： Stotsky, Alexander Chalmers Dept Signals & Syst SE-41296 Gothenburg Sweden

A new robust and computationally efficient solution to least-squares problem in the presence of round-off errors is proposed. The properties of a harmonic regressor are utilized for design of new combined algorithms of direct calculation of the parameter vector. In addition, an explicit transient bound for estimation error is derived for classical recursive least-squares algorithm using the Lyapunov function method. Different initialization techniques of the gain matrix are proposed as an extension of the recursive least-squares algorithm. All the results are illustrated by simulations.

关键词： high-order algorithms strictly diagonally dominant matrix recursive inversion harmonic regressor recursive least-squares algorithm

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REAL-TIME IMPLEMENTATION OF A MIMO ADAPTIVE POWER-SYSTEM STABILIZER

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IEE PROCEEDINGS-C GENERATION TRANSMISSION AND DISTRIBUTION 1990年第3期137卷 186-194页

作者： PAHALAWATHA, NC HOPE, GS MALIK, OP WONG, K Department of Electrical Engineering University of Calgary Calgary Canada

Power systems are non-linear and they are often subjected to random disturbances. Therefore stochastic controllers with on-line system identification are ideally suited to power system control problems. Experience with a real time implementation of an adaptive power system stabiliser to damp the dynamic oscillations of a power system is presented. A multi-input multi-output (MIMO) pole shifting control algorithm together with a least-square system identification is used. The system identification is improved using a variable forgetting factor in the recursive least-squares algorithm. The computation time was greatly reduced by streamlining the identification algorithm using the sparse nature of the matrices associated with the computation and by using parallel processing techniques. The controller was tested in real time using a physical model of a power system. The results show that the damping of the power system dynamic oscillations can be improved by using this controller.

关键词： random disturbances Power engineering computing dynamic oscillations parallel processing parallel processing techniques recursive least-squares algorithm power system computer control Control of electric power systems Self-adjusting control systems MIMO adaptive power system stabiliser online system identification Power system management, operation and economics stability variable forgetting factor Control engineering computing damping pole shifting control algorithm stochastic controllers real-time multi-input multi-output Stability in control theory adaptive control

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Adaptive filter bank reconstruction using fast multichannel RLS algorithms

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ELECTRONICS LETTERS 1998年第12期34卷 1213-1214页

作者： Chang, DC Wu, WR Natl Chiao Tung Univ Dept Commun Engn Hsinchu 30050 Taiwan

The recursive least-squares (RLS) algorithm has been used in the adaptive synthesis filter bank for fast convergence. However, because of interpolation operations involved in the synthesis process, fast RLS algorithms cannot be applied. In this Letter, an approach is proposed that can formulate subband reconstruction as a multichannel filtering problem. This formulation allows the application of fast multichannel RLS algorithms and substantial reduction in computational complexity.

关键词： least squares approximations fast convergence subband signal reconstruction computational complexity reduction adaptive filter bank reconstruction interpolation operations signal reconstruction recursive least-squares algorithm fast multichannel RLS algorithms synthesis process filtering theory interpolation adaptive synthesis filter bank adaptive filters multichannel filtering problem

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PERFORMANCE OF A NEW ADAPTIVE DIVERSITY-EQUALIZATION FOR DIGITAL MOBILE RADIO

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ELECTRONICS LETTERS 1990年第10期26卷 626-627页

作者： SUZUKI, H NTT Radio Commun. Syst. Lab. Take Yokosuka-Shi Japan

A new adaptive diversity-equalisation suitable for mobile radio signal transmission in the mobile radio fast fading environment is proposed. Adaptivity of the diversity-equalisation is enhanced by employing the recursive least-squares algorithm (RLS) with exponential weighting and two newly proposed techniques: bi-directional equalisation (BDE) and transmitter time-diversity (TDD). Computer simulation shows that QPSK transmission performance equivalent to that of four-branch diversity can be obtained with small impairment.

关键词： BER performance QPSK transmission performance RLS adaptive diversity-equalisation adaptive systems bi-directional equalisation bit error rate computer simulation digital mobile radio digital radio systems diversity reception equalisers error statistics exponential weighting fading fast fading environment mobile radio systems phase shift keying radio reception radio signal transmission radiocommunication radiowave propagation reception recursive least-squares algorithm transmitter time-diversity

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Implementation of a mixed recursive least-squares and Kalman filter approach in parameters, flux, and speed estimation for vector-controlled induction motor drives

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2008年第4期36卷 359-386页

作者： Maragliano, G. Marchesoni, M. Univ Genoa Dept Elect Engn I-16145 Genoa Italy

Today, vector-controlled induction motor drives play a major role in several applications ranging from transport to industrial applications and so on. However, vector control is quite complex and two aspects are always of great concern: electrical parameters real-time knowledge and speed-sensorless control. In this article, the development of a recurrent least-squares estimator devoted to the real-time knowledge of the electrical parameters of the motor is presented first. Subsequently, the implementation of a Kalman flux and speed estimator that only uses the electrical variables of the motor is also presented, and its exploitation to improve the least-squares parameters estimation process and the related results are shown and discussed.

关键词： parameter estimation induction motor drive recursive least-squares algorithm Kalman filter

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Higher order cumulants-based least squares for nonminimum-phase systems identification

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1997年第5期44卷 707-716页

作者： Chow, TWS Fei, G Cho, SY Laboratory of Chromatography DEPg.Fac.Quimica Universidad Nacional Autonoma de Mexico Circuito interior Cd Universitaria/CP 04510 Mexico D.F.Mexico

A third-order cumulants-based adaptive recursive least-squares (CRLS) algorithm for the identification of time-invariant nonminimum phase systems, as well as time-variant nonminimum phase systems, has been successfully developed, As higher order cumulants preserve both the magnitude and the phase information of received signals, they have been considered as powerful signal processing tools for nonminimum phase systems, In this paper, the development of the CRLS algorithm is described and examined, A cost function based on the third-order cumulant and the third-order cross cumulant is defined for the development of the CRLS system identification algorithm, The CRLS algorithm is then applied to different moving average (MA) and autoregressive moving average (ARMA) models, In the case of identifying the parameters of an MA model, a direct application of the CRLS algorithm is adequate, When dealing with an ARMA model, the poles and the zeros are estimated separately, In estimating the zeros of the ARMA model, the construction of a residual time-series sequence for the MA part is required, Simulation results indicate that the CRLS algorithm is capable of identifying nonminimum phase and time-varying systems, In addition, because of the third-order cumulant properties, the CRLS algorithm can suppress Gaussian noise and is capable of providing an unbiased estimate in a noisy environment.

关键词： autoregressive moving average model moving average model nonminimum-phase system identification recursive least-squares algorithm third-order cumulants

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Dynamic decoupling and compensation based on the inverted network technique and experiment research for multi-axis hydraulic road simulator

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 2024年第24期238卷 11309-11322页

作者： Wang, Xiao Hu, Fanglin Yao, Longyuan Li, Kun Han, Junwei Shandong Jianzhu Univ Sch Mech & Elect Engn Room 529Sci & Technol Bldg Jinan 250101 Shandong Peoples R China Jinan Municipal Bldg Safety Appraisal Testing Ctr Urban Renewal Engn Inst Jinan Shandong Peoples R China Harbin Inst Technol Sch Mechatron Engn State Key Lab Robot & Syst Harbin Peoples R China

This paper presents a dynamic decoupling and compensation approach to eliminate channel interaction for a multi-axis hydraulic road simulator. Misalignment of the concentrated moving mass centroid on the entire test bench with the control point and inconsistencies in actuator dynamics leads to dynamic coupling, which deteriorates the motion performance of the system. To solve the problem, an inverted decoupling and compensation network based on an identification model is proposed. Firstly, the system is modeled using the recursive extended least square (RELS) identification method. In the feedforward compensation modeling process, the steady-state inverse is obtained using zero-magnitude error technology control (ZMETC). In addition, a finite impulse response (FIR) filter with an adaptive algorithm is employed to reduce the adverse impact of the modeling error. The proposed decoupling strategy is validated by conducting experiments using a multi-axis hydraulic road simulator. The experimental results indicate that the designed compensator can effectively decrease the cross-coupling of multi-input and multi-output (MIMO) systems. The suggested approach is also applicable to applications that necessitate the elimination of interactions between different control variables.

关键词： Multi-axis hydraulic road simulator inverted decoupling feedforward compensation ZMETC FIR filter recursive least-squares algorithm

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