检索结果-内蒙古大学图书馆

European Control Conference (ECC)

作者： Kouzoupis, D. Zanelli, A. Peyrl, H. Ferreau, H. J. Univ Freiburg Inst Microsyst Engn IMTEK D-79110 Freiburg Germany ETH Automat Control Lab CH-8092 Zurich Switzerland ABB Corp Res Segelhofstr 1K CH-5405 Baden Switzerland

ISBN: (纸本)9783952426937

With model predictive control (MPC) becoming a viable approach for advanced feedback control at very fast sampling times, a plethora of methods for solving quadratic programming (QP) problems on embedded computing hardware has been proposed. While most of these methods seem to be useful and superior to competing approaches on particular problem instances, very little effort has been put into a proper benchmarking on a non-trivial number of MPC problems. This paper is intended to help filling this gap by (i) briefly discussing the most important aspects for assessing the suitability of a certain QP method for an MPC problem at hand, (ii) providing a concise overview of about a dozen different QP algorithms that have been proposed for use in MPC, (iii) describing a general benchmarking framework for comparing the numerical performance of the different QP algorithms, and (iv) providing preliminary benchmarking results based on different performance metrics. Numerical performance of the various algorithms is assessed by means of a suitable collection of benchmark problems, taken from both academic studies and industrial applications of MPC.

关键词： control engineering computing embedded systems feedback predictive control quadratic programming MPC QP algorithm advanced feedback control embedded computing hardware embedded model predictive control general benchmarking framework quadratic programming problem Algorithm design and analysis Benchmark testing Hardware Optimization Prediction algorithms Reliability Sparse matrices

来源：评论

学校读者我要写书评

暂无评论

A Stochastic Power Control Game for Two-Tier Cellular Networks with Energy Harvesting Small Cells

A Stochastic Power Control Game for Two-Tier Cellular Networ...

引用

IEEE Global Communications Conference (GLOBECOM)

作者： Thuc, Tran Kien Tabassum, Hina Hossain, Ekram Univ Manitoba Winnipeg MB R3T 2N2 Canada

ISBN: (纸本)9781479935123

Energy harvesting in cellular networks is an emerging technique to enhance the sustainability of power-constrained wireless devices. This paper considers the co-channel deployment of a macrocell overlaid with small cells. The small cell base stations (SBSs) harvest their energy from environment sources whereas the macro base station (MBS) uses conventional power supply. Given a stochastic energy arrival process, this paper derives a power control policy for the downlink transmission of both MBS and SBSs such that they can obtain an equilibrium of their own objectives on a long-term basis (e.g., maximizing the transmission rate for SBSs while maintaining the target signal-to-interference-plus-noise ratio (SINR) at the macro users) on a given transmission channel. To this end, we propose a single controller stochastic game and develop a power control policy as a solution of a quadratic programming problem. Numerical results demonstrate the significance of the developed optimal power control policy over the conventional fixed and random power control policies.

关键词： cellular radio energy harvesting optimal control power control quadratic programming radio equipment radio networks stochastic games telecommunication power management wireless channels MBS downlink transmission SBS downlink transmission energy harvesting small cell base station macrobase station macrocell cochannel deployment optimal power control policy power supply quadratic programming problem single controller stochastic game stochastic energy arrival process stochastic power control game transmission channel two-tier cellular network Batteries Games Interference Power control Scattering Signal to noise ratio Stochastic processes

来源：评论

学校读者我要写书评

暂无评论

An Interval-Reduced-Basis Approach for Predicting Acoustic Response of Coupled Structural-Acoustic System 5th

An Interval-Reduced-Basis Approach for Predicting Acoustic R...

引用

5th International Conference on Electrical Engineering and Automatic Control (ICEEAC)

作者： Lv, Zheng Qiu, Zhiping Li, Qi Beihang Univ Sch Aeronaut Sci & Engn Beijing 100191 Peoples R China

ISBN: (纸本)9783662487686;9783662487662

To predict and improve the acoustic behavior, an interval-reduced-basis approach is presented for acoustic response of coupled structural-acoustic system. In the present approach, the acoustic response is approximated by using a linear combination of interval-basis vectors with undetermined coefficients. The reduced-order equations are derived based on Galerkin scheme to compute the undetermined coefficients. In addition, the determination of the acoustic response range is transformed into a sequence of quadratic programming problems subject to box constraints, which are computed using the DC algorithm effectively. Numerical example is presented to demonstrate the implementation of the present approach and show that the new approach has a good accuracy and efficiency.

关键词： Interval-reduced-basis approach Acoustic response Coupled structural-acoustic system quadratic programming problem DC algorithm

来源：评论

学校读者我要写书评

暂无评论

Model Predictive Control with Repetitive Control for Periodic Signal Tracking and Constraint Handling of Fast Sampled-Data Control Systems

Model Predictive Control with Repetitive Control for Periodi...

引用

IEEE International Conference on Control Applications Part of 2010 IEEE Multi-Conference on Systems and Control

作者： Liu, Yen-Chung Lin, Chi-Ying Natl Taiwan Univ Sci & Technol Dept Mech Engn Taipei 106 Taiwan

ISBN: (纸本)9781424453634

This paper presents design and implementation of model predictive control with repetitive control for periodic signal tracking and constraint handling of fast sampled-data systems. An internal model based discrete time repetitive control law is integrated with the model predictive controller and the original problem is then transformed to a quadratic programming problem to deal with the given constraints. This heavy computational control was implemented on a piezo-actuated system at a 10 kHz sampling rate. The experimental results demonstrate the feasibility and effectiveness of the proposed approach for asymptotic error tracking of periodic reference profiles with constraint handling.

关键词： asymptotic error tracking computational control constraint handling constraint handling control design control system synthesis discrete time repetitive control law discrete time systems fast sampled-data control systems fast sampled-data systems frequency 10 kHz internal model model predictive control periodic signal tracking piezo-actuated system predictive control quadratic programming quadratic programming problem

来源：评论

学校读者我要写书评

暂无评论

Asymmetric Dual Possibilistic Regression Model by using Pairing nu Support Vector Networks

Asymmetric Dual Possibilistic Regression Model by using Pair...

引用

IEEE Symposium Series on Computational Intelligence (IEEE SSCI)

作者： Hao, Pei-Yi Natl Kaohsiung Univ Sci & Technol Dept Intelligent Commerce Kaohsiung Taiwan

ISBN: (纸本)9781728125473

This research introduces a new and effective asymmetric dual regression model by combining the advantages of possibilistic regression model and paired nu support vector machine (pair-v SVM). Our algorithm is able to best examine the ambiguity in a given data set from internal and external sides. Our algorithm estimates the outer boundary and inner boundary of the uncertain area for the predicted output. Based on the strategy of pair-v SVM, our algorithm find the solutions of four smaller SVM types of quadratic programming problems (QPP) instead of one big QPP to seek the up and down limits of the necessity and possibility model. This scheme greatly speeds up the training speed for our algorithm. Our model adopts the radial kernel, which offers a unified structure for the proposed method, which can handle crisp and vague input at the same time. The experimental results prove the efficiency and effectiveness of our algorithm.

关键词： Fuzzy regression analysis Dual regression models Asymmetrical trapezoid Jazzy numbers Support vector regression machines quadratic programming problem

来源：评论

学校读者我要写书评

暂无评论

Rank restrictions on the quadratic form in indefinite quadratic programming

引用

Unternehmensforschung Operations Research - Recherche Opérationnelle 1971年第1期15卷 214-216页

作者： Amato, H. Mensch, G. Graduate School of Business Administration Tulane University New Orleans United States International Institute of Management Wissenschaftszentrum Berlin Germany

A quadratic programming problem, where q(x) =aTx +xTQx is an indefinite objective function, can be solved with Swarup's approach of optimizing (cTx + α)(dTx + β) only if the rank of Q is two;if Q is definite, th... 详细信息

A quadratic programming problem, where q(x) =a^Tx +x^TQx is an indefinite objective function, can be solved with Swarup's approach of optimizing (c^Tx + α)(d^Tx + β) only if the rank of Q is two;if Q is definite, the rank of Q must be one. © 1971 Physica-Verlag.

关键词： Objective Function quadratic Form programming problem quadratic programming quadratic programming problem

来源：评论

学校读者我要写书评

暂无评论

Neo-Twin Support Vector Machines for Pattern Classification

Neo-Twin Support Vector Machines for Pattern Classification

引用

International Conference on Decision Aid Sciences and Applications (DASA)

作者： Jain, Sambhav Roy, Shuvo Saha Rastogi, Reshma South Asian Univ Dept Comp Sci New Delhi India

ISBN: (纸本)9781665495011

In this paper, a new variant of Twin Support Vector Machines (TSVM) termed as Neo-Twin Support Vector Machines (Neo-TSVM) has been proposed for binary pattern classification. TSVM uses hinge loss to allow optimal separation from the opposite class, casting it as a constrained optimisation problem. Neo-TSVM presents a simpler model which eliminates the constraints and cast it as an Unconstrained Minimisation problem (UMP). Further to allow, better separation between the non-parallel hyperplanes, the notion of angle has also been introduced in the optimisation problem. For testing the efficacy of the proposed classifier, experiments have been conducted on benchmark datasets, and it is observed that the proposed classifier achieves results comparable to that of TSVM, and is also time efficient.

关键词： Support Vector Machines Twin Support Vector Machines Unconstrained Minimisation problem quadratic programming problem

来源：评论

学校读者我要写书评

暂无评论

Constrained MPC Control Based on Reversed Solving Method for Multipliers and its Application 14

Constrained MPC Control Based on Reversed Solving Method for...

引用

14th IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Lu, Hongsheng Liu, Bin Jiang, Zheng Hu, Huizhong Wuhan Univ Sci & Technol Minist Educ Engn Res Ctr Met Automat & Measurement Technol Wuhan Peoples R China

ISBN: (纸本)9781538694909

An algorithm of reversed solving method for multipliers is proposed for solving quadratic programming problems of predictive controllers in this paper. Firstly, A Lagrange multiplier, transformed by the objective function and the variable constraints, is treated as the standard form of the quadratic programming (abbr. QP) of decision variables, and then a reversed solving method for multipliers is presented to obtain the approximate solution of the Lagrange multipliers which is used to obtain the solution of the control sequence. Compared with the conventional solving method for QP, the proposed method for multipliers can significantly improve the efficiency of solutions on the guarantee of solving accuracy. Secondly, the proposed algorithm is realized in the design of an vehicle trajectory tracking MPC controller, in which the decision variables of vehicle such as driving safety and comfort, are considered into the system model and they are as output constraints, and the physical limitation of the front-wheel corner is as an input constraint. Finally, the practicality of the proposed algorithm is verified by the vehicle trajectory tracking experiments.

关键词： reversed solving method for multipliers quadratic programming problem vehicle trajectory tracking MPC

来源：评论

学校读者我要写书评

暂无评论

Improved recurrent neural network architecture for SVM learning 15

Improved recurrent neural network architecture for SVM learn...

引用

15th International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Fourati, Rahma Aouiti, Chaouki Alimi, Adel M. Univ Sfax REs Grp Intelligent Machines REGIM Lab ENIS Sfax Tunisia

ISBN: (纸本)9781467387095

In this paper, we provide an improvement of the circuit implementation of a one-layer recurrent neural network for support vector machine learning in pattern classification and regression. Our goal is to reduce the complexity of this architecture. Numerical example with graphical illustration is given to illuminate our main results.

关键词： support vector machine pattern recognition quadratic programming problem recurrent neural network MATLAB Simulink modeling

来源：评论

学校读者我要写书评

暂无评论

Model based optimization and estimation of the field map during the breakdown phase in the ITER tokamak

Model based optimization and estimation of the field map dur...

引用

IEEE Conference on Control and Applications (CCA)

作者： Ambrosino, R. De Tommasi, G. Mattei, M. Pironti, A. CREATE Consortium Isola C4 I-80143 Naples Italy Univ Napoli Parthenope Ctr Direz Dept Engn I-80143 Naples Italy CREATE Consortium I-80131 Aversa CE Italy Univ Naples 2 Dept Ind & Informat Engn I-80131 Aversa CE Italy CREATE Consortium I-80125 Naples Italy Univ Naples Federico II Dept Elect Engn & Informat Technol I-80125 Naples Italy

ISBN: (纸本)9781479977871

The design of a breakdown scenario in a modern tokamak requires the optimization of Poloidal Field coils voltages and currents to guarantee a desired electric field and a low value of the poloidal field in a given region of the vacuum chamber in the presence of several operating constraints and limitations. The optimization problem can be approached in the discrete time domain and converted into a quadratic programming problem with linear constraints. In tokamaks like ITER, breakdown conditions are reached with very large currents in the metallic passive structures. If the field map has to be reconstructed for monitoring and control purposes, the estimation of such currents is very important and can be obtained by means of magnetic measurements. A Kalman Filtering approach is proposed to reconstruct eddy currents also in the presence of uncertainties on self and mutual inductances, currents to fields/fluxes relationships. Numerical simulations are presented on an early operation ITER breakdown scenario.

关键词： Kalman filters Tokamak devices electric breakdown plasma diagnostics plasma simulation plasma toroidal confinement plasma transport processes quadratic programming ITER breakdown scenario ITER tokamak Kalman filtering approach breakdown conditions breakdown phase breakdown scenario design discrete time domain eddy currents electric field field map estimation linear constraints magnetic measurements metallic passive structures model based optimization mutual inductances numerical simulations optimization problem poloidal field coil currents poloidal field coil voltages quadratic programming problem self inductances vacuum chamber Coils Electric breakdown Magnetic field measurement Optimization Tokamaks Uncertainty Tokamak devices Electric breakdown quadratic programming MUTUAL INDUCTANCE Eddy current plasma toroidal confinement plasma transport processes ITER TOKAMAK Magnetic field measurement plasma simulation Plasma diagnostics Kalman filters Magnetic measurements Coils Electric fields

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：