检索结果-内蒙古大学图书馆

On Infinite Time Performance of Nonlinear Model Predictive Controllers

IFAC Proceedings Volumes 2014年第3期47卷 1916-1921页

作者： Xin Cai Shaoyuan Li Ning Li Kang Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 P. R. China School of Electronics Electrical Engineering and Computer Science The Queen's University Belfast Belfast BT7 1NN UK

This paper addresses the problem of infinite time performance of model predictive controllers applied to constrained nonlinear systems. The total performance is compared with a finite horizon optimal cost to reveal performance limits of closed-loop model predictive control systems. Based on the Principle of Optimality, an upper and a lower bound of the ratio between the total performance and the finite horizon optimal cost are obtained explicitly expressed by the optimization horizon. The results also illustrate, from viewpoint of performance, how model predictive controllers approaches to infinite optimal controllers as the optimization horizon increases.

关键词： Model Predictive Control Finite Horizon Optimal Control Value Iteration Principle of Optimality

来源：评论

学校读者我要写书评

暂无评论

Index modulated OFDM with ICI self-cancellation in underwater acoustic communications

Index modulated OFDM with ICI self-cancellation in underwate...

引用

Asilomar Conference on Signals, Systems & computers

作者： Miaowen Wen Yuke Li Xiang Cheng Liuqing Yang School of Electronic and Information Engineering South China University of Technology Guangzhou China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Electronics Engineering and Computer Science Peking University Beijing China Department of Electrical and Computer Engineering Colorado State University Fort Collins CO USA

ISBN: (纸本)9781479982981

OFDM is promising for underwater acoustic (UWA) communications due to its potential to combat the large delay spread. However, the performance of the OFDM system is seriously deteriorated by the inter-carrier interference (ICI) caused by the transmitter/receiver motion and ocean waves. In this paper, we propose a novel ICI countermeasure. The key idea is to inactivate partial subcarriers according to index modulation and meanwhile transmit signals with opposite polarity on two adjacent active subcarriers for ICI self cancellation. Simulation results validate that the proposed scheme achieves much better bit error rate (BER) performance than many existing schemes in UWA communications.

关键词： OFDM Modulation Bit error rate Indexes Receivers Transmitters Sonar equipment

来源：评论

学校读者我要写书评

暂无评论

Non Linear Hebbian Learning Techniques and Fuzzy Cognitive Maps in Modeling the Parkinson's Disease

Non Linear Hebbian Learning Techniques and Fuzzy Cognitive M...

引用

Mediterranean Conference on Control & automation

作者： Anninou P. Antigoni Groumpos P. Peter Laboratory of Automation and Robotics Department of Electrical and Computer Engineering University of Patras

ISBN: (纸本)9781479909964

A new soft computing method using Fuzzy Cognitive Maps for modeling and predicting Parkinson's disease has been proposed. A decision support system based on human knowledge and experience, with a Fuzzy Cognitive Map trained using unsupervised Nonlinear Hebbian Leanring algorithm are proposed. The basic theories of this learning method are reviewed and presented. The initial values of concepts are represented as fuzzy membership values and trained to get new updated weight matrix and new concept values. Simulations are performed and very interesting results are obtained and discussed. A comparison between the results with and without a learning algorithm is considered.

关键词： Fuzzy cognitive maps Parkinson Disease decision support systems Hebbian principle Learning methods learning algorithms Modeling

来源：评论

学校读者我要写书评

暂无评论

Enhancing the Effectiveness of Fungicides by Optimizing Their Combinations

Enhancing the Effectiveness of Fungicides by Optimizing Thei...

引用

第26届中国控制与决策会议

作者： Xiang Wang Jia Ma Xiaowei Li Xiaodong Zhao Zongli Lin Jie Chen Zhifeng Shao Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Department of Resource and Environmental Science School of Agriculture and BiologyShanghai Jiao Tong University School of Biomedical Engineering Shanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

In controlling biological diseases, it is often more potent to use a combination of agents than using individual ones. However, the number of possible combinations increases exponentially with the number of agents and their concentrations. It is prohibitive to search for effective agent combinations by trial and error as biological systems are complex and their responses to agents are often a slow process. This motivates to build a suitable model to describe the biological systems and help reduce the number of experiments. In this paper, we consider the use of fungicides to inhibit Bipolarismaydis and construct models that describe the responses to fungicide combinations. Three data-driven modeling methods, the polynomial regression, the artificial neural network and the support vector regression, are compared based on the experimental data of the inhibition rates of the southern corn leaf blight with different fungicide combinations. The analysis of the results demonstrates that the support vector regression is best suited to the construction of the response model in terms of achieving better prediction with fewer experiments.

关键词： agent combinations,complex system,data-driven model,polynomial regression,artificial neural network,support vector regression

来源：评论

学校读者我要写书评

暂无评论

Predicting the Speed of a Wave Glider Autonomous Surface Vehicle from Wave Model Data

Predicting the Speed of a Wave Glider Autonomous Surface Veh...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Phillip Ngo Jnaneshwar Das Jonathan Ogle Jesse Thomas Will Anderson Ryan N. Smith School of Electrical Engineering and Computer Science Queensland University of Technology Brisbane QLD 4001 Australia Robotic Embedded Systems Laboratory University of Southern California Los Angeles CA USA Physics and Engineering Department Fort Lewis College Durango CO USA Liquid Robotics Inc. Sunnyvale CA USA

ISBN: (纸本)9781479969357

A key component of robotic path planning for monitoring dynamic events is reliable navigation to the right place at the right time. For persistent monitoring applications (e.g., over months), marine robots are beginning to make use of the environment for propulsion, instead of depending on traditional motors and propellers. These vehicles are able to realize dramatically higher endurance by exploiting wave and wind energy, however the path planning problem becomes difficult as the vehicle speed is no longer directly controllable. In this paper, we examine Gaussian process models to predict the speed of the Wave Glider autonomous surface vehicle from observable environmental parameters. Using training data from an on-board sensor, and wave parameter forecasts from the WAVEWATCH III model, our probabilistic regression models create an effective method for predicting Wave Glider speed for use in a variety of path planning applications.

关键词： Ground vehicles Path planning Vehicle speed speed Crucial components A wave

来源：评论

学校读者我要写书评

暂无评论

Modeling and Analysis of a Hybrid-Energy System using Fuzzy Cognitive Maps

Modeling and Analysis of a Hybrid-Energy System using Fuzzy ...

引用

Mediterranean Conference on Control & automation

作者： Ioannis E. Karagiannis Peter P. Groumpos Department of Electrical and Computer Engineering University of Patras Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras

ISBN: (纸本)9781479909964

A hybrid energy system is an excellent solution to the problem of not being able to meet the power demand using a single energy source. Such a system incorporates a combination of one or more renewable energy source (RES) such as solar photovoltaic, wind-energy, geothermal, and could also have a conventional generator for backup. This paper discusses different system components of a hybrid energy system and develops a theoretical model to find an acceptable combination of energy components. A theoretical model of a hybrid energy system, using Fuzzy Cognitive Maps (FCMs) and learning algorithms, is presented. FCMs perform well even with missing data and despite nonlinearities, which such systems usually have. The simulation results verified the effectiveness and reliability of the proposed hybrid energy system.

关键词： ENERGY SYSTEMS Fuzzy cognitive maps Power demand Energy sources learning algorithms Theoretical Models Modeling HYBRID Hybrid electric vehicles system component Simulation results missing data

来源：评论

学校读者我要写书评

暂无评论

Further Results on the Maximal Contractively Invariant Ellipsoid of Discrete-time Linear Systems with Multiple Inputs Subject to Actuator Saturation

Further Results on the Maximal Contractively Invariant Ellip...

引用

IEEE Annual Conference on Decision and Control

作者： Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 USA

ISBN: (纸本)9781467360890

Contractively invariant ellipsoids have been extensively used as estimates of the domain of attraction of a linear system under a saturated linear feedback. For a discrete-time linear system with a single input subject to actuator saturation, based on a convex hull representation of the saturated linear feedback, a necessary and sufficient condition for an ellipsoid to be contractively invariant was previously established. Based on this condition, the determination of the maximal contractively invariant ellipsoid can be formulated and solved as an LMI problem. In this paper, we develop a criterion to determine if a contractively invariant ellipsoid is the maximal one for discrete-time saturated linear systems with multiple inputs. This criterion is based on the solution of an LMI problem, which involves a generalized convex hull representation of saturated linear feedbacks, and includes the existing result for discrete-time saturated linear systems with a single input as a special case. Simulation results demonstrate the effectiveness of our results.

关键词： Linear system multi-input discrete-time Invariant discrete time systems linear feedback Saturated convex hull region of attraction

来源：评论

学校读者我要写书评

暂无评论

Robust fault tolerant control on distributed networked control systems with quantized states

Robust fault tolerant control on distributed networked contr...

引用

World Congress on Intelligent Control and automation (WCICA)

作者： Yang Ge Jingcheng Wang Yi Zhang Kang Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Shanghai China Shanghai Urban-Rural Construction and Transportation Development Research Institute Shanghai China Electrical Engineering and Computer Science Queen's University Belfast Belfast UK

The distributed networked control systems are considered in this paper. Several sub-systems which are connected with each other through a communication network make up the whole system. Each sub-system has its own quantizer so that any information which needs be transmitted to other sub-systems will be quantized due to limited bandwidth. Meanwhile, the actuator faults, including outage, loss of effectiveness and stuck are also considered in our research. A mode-based state feedback controller is given in this paper to stable such NCSs and to meet the robust H-inf performance. A simulation example is proposed to illustrate the effectiveness of our method finally.

关键词： Quantization (signal) Networked control systems State feedback Closed loop systems Communication networks Actuators Fault tolerance

来源：评论

学校读者我要写书评

暂无评论

A Geometric Approach for the Sustainable Economic Growth of a Country: The Equilateral Triangular Model

引用

IFAC Proceedings Volumes 2013年第8期46卷 225-230页

作者： Peter P. Groumpos Department of Electrical and Computer Engineering Laboratory for Automation and Robotics University of Patras Patras GREECE (Tel: +30-2610-996449

Strategic perspectives of sustainable development are considered and discussed. The concept of environmental sustainability is addressed and its relation to sustainable development is discussed. By undertaking mathematical calculations and geometrical axioms, this study shows a different approach in regional development based on various settings between three fundamental concepts: Education + Research- Innovation + Entrepreneurship. The Triangle of Knowledge (ToK) is defined using the above three fundamental concepts. The Triangle of Knowledge refers to the interaction between education, research-innovation and entrepreneurship, which are key drivers for the Knowledge-Based-Society (KBS). This concept relates to the need to pay attention on an equal basis to the three factors on a systemic and continuous way. Particular contribution to the Triangle of Knowledge is attempted, through the introduction of Excellence within the proposed Equilateral Triangular Model Approach (ETMA). A new performance index is defined, the Excellence Performance Indicator (EPI) and used on this new proposed methodology of ETMA. A number of simulation runs using ETMA and the Triangle of Knowledge(ToK) is performed and a number of interesting results are obtained and discussed.

关键词： sustainable development economic models triangle of knowledge (ToK)

来源：评论

学校读者我要写书评

暂无评论

Learning control for a robotic manipulator with input saturation

Learning control for a robotic manipulator with input satura...

引用

3rd IFAC Conference on Intelligent Control and automation Science, ICONS 2013

作者： He, Wei Xiao, Shengtao Yu, Sijia Robotics Institute School of Automation Engineering University of Electronic Science and Technology of China Chengdu 611731 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore

ISBN: (纸本)9783902823458

In this paper, adaptive neural-network control is designed for an n-DOF robotic manipulator system. In the tracking control design, both uncertainties and input saturation are considered. Stability of the closed-loop system is analyzed via the Lyapunov's direct method. The uncertain system is approximated by the radial basis function neural-networks (RBFNN) and the input saturation is solved by adding an auxiliary signal. Simulation studies are conducted to examine the effectiveness of the proposed model-based and RBFNN control. Copyright © 2013 IFAC.

关键词： Radial basis function networks

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：