检索结果-内蒙古大学图书馆

第25届中国控制与决策会议

作者： Mojtaba Zaare Mehrjerdi Behzad Moshiri Ghassem Amoabediny Arman Ashktorab Babak Nadjar Araabi Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Research Center for New Technologies in Life Science Engineering University of Tehran Department of Life Science Engineering Faculty of New Technologies University of Tehran Department of Chemical Engineering Faculty of Engineering University of Tehran

ISBN: (纸本)9781467355339

As life science progress and its consequences provide human life necessities, controlling these kinds of processes has recently become very important. Unfortunately because of including delay and nonlinear behavior of micro-organisms these processes have nonlinear time varying model and so controlling them is too complicated. These nonlinear dynamics are too slow and so it is possible to linearize the model step by step and apply control signal to the local linearized models. In this paper we design a model predictive controller for each linearized model at time unit and as a result a nonlinear time varying system has been controlled properly. As these localized models are open loop unstable, we have to use close loop paradigm also due to its numerically robustness. Finally result has validated with experimental values and reliability of this approach has been exposed.

关键词： MPC, Sequential Linearization, Biological System control, Aerated Flask

来源：评论

学校读者我要写书评

暂无评论

Consensus of High-order Multi-agent Systems with Input and Communication Delays-Output Feedback Case

Consensus of High-order Multi-agent Systems with Input and C...

引用

第三十二届中国控制会议

作者： Bin Zhou Zongli Lin Center for Control Theory and Guidance Technology Harbin Institute of Technology Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781479900305

We study in this paper the consensus problem for multi-agent systems with agents characterized by high-order linear systems with time delays in both the communication network and inputs. Provided that the open-loop dynamics of the agents is not exponentially unstable, but may be polynomially unstable, and the communication topology contains a directed spanning tree, a truncated predictor feedback approach is established to solve the consensus problem. It is shown that, if the delays are constant and exactly known, the consensus problems can be solved by observer based output feedback protocols for arbitrarily large yet bounded delays. If it is further assumed that the open-loop dynamics of the agents only contains zero eigenvalues, the delays are allowed to be time-varying and unknown.

关键词： Consensus high-order multi-agent systems time delays truncated predictor feedback Output feedback

来源：评论

学校读者我要写书评

暂无评论

Model Free Predictive control for a Nonlinear Biological System with Intelligent Optimization Approach

Model Free Predictive Control for a Nonlinear Biological Sys...

引用

第25届中国控制与决策会议

作者： Mojtaba Zaare Mehrjerdi Ghassem Amoabediny Behzad Moshiri Arman Ashktorab Babak Nadjar Araabi Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Research Center for New Technologies in Life Science Engineering University of Tehran Department of Life Science Engineering Faculty of New Technologies University of Tehran Department of Chemical Engineering Faculty of Engineering University of Tehran

ISBN: (纸本)9781467355339

Today the importance of life science and its related processes are undeniable. Modeling and control of these kind of processes are too complicate because of existence of delay in growth and also nonlinear behavior of micro-organisms. Model predictive control is one of the most popular advanced controlling strategies in this industry, however its dependence on accurate model for predicting future input and output values is limitating. If there is a way that could predict the future values of the process properly, it is possible to overcome to the existing challenges. In this paper we design a model free predictive controller by using a trained recurrent neural network as a predictor for prediction stage at MPC and using GA for solving the associated optimization problem that result the optimal control signal sequence.

关键词： NNMPC GA Biological System Aerated Flask

来源：评论

学校读者我要写书评

暂无评论

Solutions to finite horizon cost problems using actor-critic reinforcement learning

Solutions to finite horizon cost problems using actor-critic...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Ivo Grondman Hao Xu Sarangapani Jagannathan Robert Babuška Delft Center for Systems and Control Delft University of Technology Delft The Netherlands Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla USA

Actor-critic reinforcement learning algorithms have shown to be a successful tool in learning the optimal control for a range of (repetitive) tasks on systems with (partially) unknown dynamics, which may or may not be nonlinear. Most of the reinforcement learning literature published up to this point only deals with modeling the task at hand as a Markov decision process with an infinite horizon cost function. In practice, however, it is sometimes desired to have a solution for the case where the cost function is defined over a finite horizon, which means that the optimal control problem will be time-varying and thus harder to solve. This paper adapts two previously introduced actor-critic algorithms from the infinite horizon setting to the finite horizon setting and applies them to learning a task on a nonlinear system, without needing any assumptions or knowledge about the system dynamics, using radial basis function networks. Simulations on a typical nonlinear motion control problem are carried out, showing that actor-critic algorithms are capable of solving the difficult problem of time-varying optimal control. Moreover, the benefit of using a model learning technique is shown.

关键词： Mathematical model Equations Optimal control Learning (artificial intelligence) Approximation algorithms Heuristic algorithms Markov processes

来源：评论

学校读者我要写书评

暂无评论

Assessing control Performance in Closed-loop Anesthesia

Assessing Control Performance in Closed-loop Anesthesia

引用

Mediterranean Conference on control & Automation

作者： Kristian Soltesz Guy A. Dumont J. Mark Ansermino LCCC Linnaeus Center and the eLLIIT Excellence Center at the Department of Automatic Control Lund University Department of Electrical and Computer Engineering University of British Columbia Department of Anesthesiology Pharmacology and Therapeutics University of British Columbia

ISBN: (纸本)9781479909964

Recently, several control systems for closed-loop anesthesia have been demonstrated both in simulation and clinical studies. A set of performance measures, proposed by Varvel et al., have constituted the standard means of comparing such systems. This paper debates the adequacy of the Varvel measures, as applied to closed-loop anesthesia, and proposes an alternative set of measures. Key features of the proposed measures are: wide acceptance within the control community;reflection of clinical feasibility;separate measures for induction and maintenance of anesthesia;separation of outlier detection and performance evaluation. The proposed measures are descriptive, few, and easy to compute.

关键词： Medical control system Performance evalua- tion Drug delivery

来源：评论

学校读者我要写书评

暂无评论

Sparse and Optimal Wide-Area Damping control in Power Networks

Sparse and Optimal Wide-Area Damping Control in Power Networ...

引用

American control Conference

作者： Florian Dorfler Mihailo R. Jovanovic Michael Chertkov Francesco Bullo Center for Control Dynamical Systems and Computation University of California at Santa Barbara Santa Barbara CA 93106 Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN 55455 Theory Division & Center for Nonlinear Studies at LANL and with New Mexico Consortium Los Alamos NM 87544

ISBN: (纸本)9781479901777

Inter-area oscillations in power networks are typically poorly controllable by means of local decentralized control. Recent research efforts have been aimed at developing wide-area control strategies that involve communication of remote signals. In conventional wide-area control strategies the control structure is fixed a priori typically based on modal criteria. In contrast, here we employ the recently introduced paradigm of sparsity-promoting optimal control to simultaneously identify the control structure and optimize the closed-loop performance. To induce a sparse control architecture, we regularize the standard quadratic performance index with an l_1-penalty on the feedback matrix. The quadratic objective functions are inspired by the classic slow coherency theory and are aimed at imitating homogeneous networks without interarea oscillations. We use a compelling example to demonstrate that the proposed combination of the sparsity-promoting optimal control design with the slow coherency objective functions performs almost as well as the optimal centralized controllers.

关键词： Power grids control Architecture damped control design control Objective function Optimal control quadratic performance index homogeneous network

来源：评论

学校读者我要写书评

暂无评论

Solving the parquet equations for the Hubbard model beyond weak coupling

引用

Physical Review E 2013年第1期87卷 013311-013311页

作者： Ka-Ming Tam H. Fotso S.-X. Yang Tae-Woo Lee J. Moreno J. Ramanujam M. Jarrell Department of Physics and Astronomy Louisiana State University Baton Rouge Louisiana 70803 USA Center for Computation and Technology Louisiana State University Baton Rouge Louisiana 70803 USA Seagate 7801 Computer Avenue South Bloomington Minnesota 55435 USA Department of Electrical and Computer Engineering Louisiana State University Baton Rouge Louisiana 70803 USA

We find that imposing crossing symmetry in the iteration process considerably extends the range of convergence for solutions of the parquet equations for the Hubbard model. When crossing symmetry is not imposed, the convergence of both simple iteration and more complicated continuous loading (homotopy) methods is limited to high temperatures and weak interactions. We modify the algorithm to impose the crossing symmetry without increasing the computational complexity. We also imposed time reversal and a subset of the point group symmetries, but they did not further improve the convergence. We elaborate the details of the latency hiding scheme which can significantly improve the performance in the computational implementation. With these modifications, stable solutions for the parquet equations can be obtained by iteration more quickly even for values of the interaction that are a significant fraction of the bandwidth and for temperatures that are much smaller than the bandwidth. This may represent a crucial step towards the solution of two-particle field theories for correlated electron models.

关键词： Hubbard model

来源：评论

学校读者我要写书评

暂无评论

Decentralised Minimum-Time Average Consensus in Digraphs

Decentralised Minimum-Time Average Consensus in Digraphs

引用

IEEE Annual Conference on Decision and control

作者： Themistoklis Charalambous Ye Yuan Tao Yang Wei Pan Christoforos N. Hadjicostis Michael Johansson ACCESS Linnaeus Center School of Electrical Engineering KTH-Royal Institute of Technology SE-100 44 Stockholm Sweden Control Group Department of Engineering University of Cambridge Cambridge UK Department of Bioengineering Imperial College London London UK Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus

ISBN: (纸本)9781467357159

Distributed algorithms for average consensus in directed graphs are typically asymptotic in the literature. In this work, we propose a protocol to distributively reach average consensus in a finite number of steps on interconnection topologies that form strongly connected directed graphs (digraphs). The average consensus value can be computed, based exclusively on local observations at each component, by running a protocol that requires each component to observe and store its own value over a finite and minimal number of steps, and to have knowledge of the number of its out-going links (i.e., the number of components to which it sends information). The proposed algorithm is demonstrated via illustrative examples.

关键词： directed graphs distributed algorithms Finite

来源：评论

学校读者我要写书评

暂无评论

Sampled-data Periodic Predictor Feedback for Linear Systems with Input Delay

Sampled-data Periodic Predictor Feedback for Linear Systems ...

引用

第三十二届中国控制会议

作者： Bin Zhou Qian Sang Zongli Lin Center for Control Theory and Guidance Technology Harbin Institute of Technology Charles LBrown Department of Electrical and Computer Engineering University of VirginiaCharlottesvilleVA 22904-4743USA

ISBN: (纸本)9781479900305

In this paper we propose sampled-data periodic predictor feedback controllers for linear systems with input *** any size of input delay and any prescribed sampling period,an explicit sampled-data periodic predictor feedback controller is constructed and shown to be able to stabilize the given delay *** a controller utilizes only the state information at the latest sampling instant and the control inputs at some past sampling *** the condition that the open-loop system is not exponentially unstable(but maybe polynomially unstable),a truncated version of the sampled-data periodic predictor feedback controller is also proposed,which is a memoryless controller that needs only the state at the latest sampling *** of the closed-loop system under the truncated sampled-data periodic predictor feedback controller is *** numerical examples are given to illustrate the effectiveness of the proposed designs.

关键词： Input delay systems sampled-date control periodic controller predictor feedback truncated predictor feedback

来源：评论

学校读者我要写书评

暂无评论

Target-Tracking control Design for a Robotic Fish with Caudal Fin

Target-Tracking Control Design for a Robotic Fish with Cauda...

引用

第三十二届中国控制会议

作者： Songlin Chen Jianxun Wang Xiaobo Tan Control and Simulation Center Harbin Institute of Technology Smart Microsystems Laboratory Department of Electrical and Computer EngineeringMichigan State UniversityEast LansingMI 48824USA

ISBN: (纸本)9781479900305

In this paper we propose a novel target-tracking control scheme for a carangiform robotic fish based on a faithful dynamic model that combines rigid-body dynamics with Lighthill's large-amplitnde elongated-body *** first average the dynamic model under periodic tail-actuation,which results in an average model with tail-beat patterns(bias,frequency,and amplitude) as new control inputs that axe nonlinearly *** introducing two new state variables,the orientation angle error and the distance between the robotic fish body and the target location,we derived the dynamic equations for these variables, which are then used in backstepping-based controller design.A hybrid controller is proposed,where the switching is determined by whether the orientation error is above a threshold *** Lyapunov analysis,we show that the trajectory of the robotic fish will converge to the target point if the given condition is ***,the effectiveness of the proposed control strategy is demonstrated through simulation results.

关键词： Robotic fish Target-Tracking Backstepping Nonlinear Underactuated

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：