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An improved CS-LS hybrid algorithm on microseisrnic source location

SYSTEMS SCIENCE & CONTROL ENGINEERING 2021年第1期9卷 467-478页

作者： Da, Shujin Li, Xuegui Han, Fei Li, Hanyang Northeast Petr Univ Artificial Intelligence Energy Res Inst Daqing Peoples R China Northeast Petr Univ Heilongjiang Prov Key Lab Networking & Intelligen Daqing Peoples R China Northeast Petr Univ Sch Comp & Informat Technol Daqing Peoples R China

This paper presents a hybrid global optimization algorithm for the localization of microseismic events, which is composed of the least-squares (LS) algorithm and the Cuckoo search (CS) algorithm. It significantly reduces the demand for the accuracy of the inversion velocity model. The positioning process is presented as follows: firstly, construct an objective function by utilizing time difference information of P-wave;then, find the final optimal value through iterations by embedding this objective function as the fitness function to the hybrid algorithm. Through simulation experiments, the hybrid algorithm can acquire more accurate locations and a faster convergence speed than the LS algorithm.

关键词： Microseismic localization time difference information least-squares algorithm cuckoo search algorithm

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Online identification of continuous-time systems with unknown time delay

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2005年第9期50卷 1418-1422页

作者： Ren, XM Rad, AB Chan, PT Lo, WL Beijing Inst Technol Dept Automat Control Beijing 100081 Peoples R China Hong Kong Polytech Univ Dept Elect Engn Kowloon Hong Kong Peoples R China

In this note, we present a recursive algorithm for online identification of systems with unknown time delay. The proposed algorithm can be interpreted as an approximate nonlinear least-squares, corresponding to modified normalized or un-normalized least-squares when the normalizing factor gamma < 0 or gamma = 0, respectively. Both algorithms are essentially extensions to general least-squares methodology. Simulation studies demonstrate the characteristics and performance of these algorithms.

关键词： least-squares algorithm system identification time delay systems

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Parameter estimation for Non-uniformly Sampled Wiener Systems with Dead-zone Nonlinearities 9

Parameter estimation for Non-uniformly Sampled Wiener System...

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9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2015

作者： Liu, Rauran Li, Haoran Pau, Tianhong Li, Zhengming Jiangsu Univ Sch Elect & Informat Engn Zhenjiang 212013 Jiangsu Peoples R China

In this paper, an identification algorithm for the non-uniformly Wiener systems with dead-zone nonlinearities is proposed. Firstly, a uniform model of the Wiener system is reformulated with the help of the lift technique and a switching function. Then, a least squares based iterative recursive algorithm with variable forgetting factor is presented using the auxiliary model and iterative method. Simulation results indicate the effectiveness of the proposed method. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： parameters estimation least-squares algorithm Wiener systems nonlinear systems Iterative methods

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One-stage identification of continuous time delay systems with unknown initial conditions and disturbance from pulse tests

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MODERN PHYSICS LETTERS B 2005年第28-29期19卷 1695-1698页

作者： Wang, QG Liu, M Hang, CC Natl Univ Singapore Dept Elect & Comp Engn Singapore 119260 Singapore

In this paper, an identification method is proposed for linear continuous time delay processes with unknown non-zero initial condition and disturbance from pulse tests. Multiple integral is used and integral intervals are specifically chosen to enable easy identification of the system parameters in one step. The effectiveness of the identification method is demonstrated through simulations.

关键词： process identification least-squares algorithm time delay pulse test

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Analysis and Assessment of Primary Frequency Regulation Performance Considering Dynamic Response Process of Renewable Energy Units

Analysis and Assessment of Primary Frequency Regulation Perf...

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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Kuang, Shiqi Xu, Guoyi Wang, Cheng Li, Ang Zhang, Yonglang Bi, Tianshu North China Elect Power Univ Beijing Peoples R China

ISBN: (纸本)9798350381849;9798350381832

Accurate assessment of the primary frequency regulation (PFR) performance of renewable energy units (REU) is critical to ensure the frequency stability in low-inertia power systems. Aiming at the problem that the existing assessment method of PFR cannot accurately reflect the dynamic process of REU with additional PFR control after the disturbance, this paper analyzes the influence of two different delays, communication latency and rising time, on the dynamic effect of PFR of the REUs. The assessment method of PFR based on the first order plus delay time (FOPDT) equivalent model is proposed. Based on the PMU measured frequency and active power data at the point of interconnection (POI), the identification methods of the power frequency proportional coefficient, equivalent latency and equivalent rising time are given. The results show that compared with the existing static assessment method, the proposed method can accurately reflect the static and dynamic characteristics of the PFR process of REU. This method is of great significance to guide transmission system operator to equip REU with PFR capability and set the relevant control parameters of PFR.

关键词： Renewable energy PFR Communication latency Performance assessment Frequency response model least-squares algorithm

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Decentralized Adaptive Synchronization of a Stochastic Discrete-Time Multiagent Dynamic Model

Decentralized Adaptive Synchronization of a Stochastic Discr...

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Joint 48th IEEE Conference on Decision and Control (CDC) / 28th Chinese Control Conference (CCC)

作者： Ma, Hongbin Beijing Inst Technol Sch Automat Beijing Peoples R China

ISBN: (纸本)9781424438723

A decentralized adaptive synchronization problem for a simple yet nontrivial discrete-time stochastic model of network dynamics is investigated, which also illustrates a general framework for a class of adaptive control problems for complex systems with uncertainties. To describe synchronization phenomena in noisy environments, several new definitions of synchronization for stochastic systems are given and applied in our model. Within this framework, we prove that in four different cases on local goals, including "deterministic tracking," "center-oriented tracking," " loose tracking," and " tight tracking," under mild conditions on noise sequence and communication limits, the agents in the considered model can achieve global synchronization in sense of mean by using local estimators and controllers based on a least-squares (LS) algorithm. These results show that agents in a complex system disturbed by noise with communication limits can autonomously achieve the global goal of synchronization by using local LS-based adaptive controllers while they are pursuing for their local goals.

关键词： adaptive control decentralized adaptive synchronization network dynamics least-squares algorithm complex system discrete-time stochastic model coupling uncertainties

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LED-based Vehicular Visible Light Ranging

LED-based Vehicular Visible Light Ranging

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IEEE International Conference on Communications (IEEE ICC)

作者： Xu, Rui Xu, Zhengyuan Univ Sci & Technol China Chinese Acad Sci Key Lab Wireless Opt Commun Hefei 230027 Anhui Peoples R China

ISBN: (纸本)9781538680889

With the development of autonomous driving technology, inter-vehicle ranging has attracted a lot of attention. In this paper, we propose a simple and low cost visible light ranging system. It exploits a visible light emitting diode (LED) as the transmitter and an avalanche photodiode (APD) array as the receiver in each vehicle. The module measures the round-trip distance of the signal from the rear vehicle LED to the front vehicle which receives and sends back the signal. The position of the front vehicle is then estimated by least-squares and Levenberg-Marquardt algorithms. Upon a complete channel and noise model, simulation results are compared against experimental results, with distance from 1 m to 19 m at a step of 1 m. The system is able to measure the absolute distance up to 14 m and 19 m with an error less than 5 cm and 20 cm respectively.

关键词： Visible light ranging avalanche photodiode array least-squares algorithm Levenberg-Marquardt algorithm

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A least squares Method for Identification of Feedback Cascade Systems

A Least Squares Method for Identification of Feedback Cascad...

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17th IFAC Symposium on System Identification (SYSID 2015)

作者： Galrinho, Miguel Rojas, Cristian R. Hjalmarssou, Hakan KTH Royal Inst Technol Sch Elect Engn Dept Automat Control SE-10044 Stockholm Sweden KTH Royal Inst Technol Sch Elect Engn ACCESS Linnaeus Ctr SE-10044 Stockholm Sweden

The problem of identification of systems in dynamic networks is considered. Although the prediction error method (PEM) can be applied to the overall system, the non-standardmodel structure requires solving a non-convex optimization problem. Alternative methods have been proposed, such as instrumental variables and indirect PEM. In this paper, we first consider acyclic cascade systems, and argue that these methods have different ranges of applicability. Then, for a network with feedback connection, we propose an approach to deal with the fact that indirect PEM yields a non-convex problem in that case. A numerical simulation may indicate that this approach is competitive with other existing methods.

关键词： System identification least-squares algorithm Feedforward networks Feedback loops Closed-loop identification

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A frequency encoding method for fringe projection profilometry

A frequency encoding method for fringe projection profilomet...

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3rd International Conference on Experimental Mechanics/3rd Conference of the Asian-Committee-on-Experimental-Mechanics

作者： Guo, HW Chen, MY He, HT Shanghai Univ Lab Appl Opt & Metrol Shanghai 200072 Peoples R China

ISBN: (纸本)081945852X

A frequency encoding approach for fringe projection profilometry is proposed. First, a series of fringe patterns are generated in computer where the pixels are encoded with the temporal frequencies. Second, the patterns are cast on the object surface by an LCD projector and then the distorted patterns are captured by a CCD camera. Third, a least squares algorithm based on a linear prediction is deduced to estimate the frequencies, and then the depth map is further reconstructed by using the mapping relationship between the temporal frequency and the depth of the object surface. Experimental results are presented to demonstrate the validity of this technique.

关键词： three-dimensional measurement fringe projection profilometry frequency encoding least-squares algorithm

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Automatic mapping for an indoor mobile robot assistant using RFID and laser scanner

Automatic mapping for an indoor mobile robot assistant using...

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Annual Conference on the Society-of-Instrument-and-Control-Engineers

作者： Lin, Hung-Hsing Tsai, Ching-Chih Hu, Ssu-Min Chang, Hsu-Yang Natl Chung Hsing Univ Dept Elect Engn Taichung Taiwan Hsiuping Inst Technol Dept Elect Engn Taichung Taiwan Precis Machinery Res & Dev Ctr Taichung Taiwan

ISBN: (纸本)9784907764289

This paper presents an automatic mapping method of an indoor mobile robot assistant for the elderly people. Mapping based on the minimalistic environmental model is accomplished automatically by using a laser scanner which works at 500K baud rate, and a RFID which is adopted to initialize robot's initial posture in real time. Numerous simulations and experimental results are performed to illustrate the feasibility and effectiveness of the proposed methods..

关键词： automatic mapping least-squares algorithm metric iterative-end-point-fit-algorithm

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