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56篇 您的检索式:作者名="Modar"
    题名 作者 年代 出处 被引量
1H_∞ Consensus Control of Discrete-Time Multi-Agent Systems Under Network Imperfections and External Disturbance显示文摘This paper presents a distributed control protocol for consensus control of multi-agent systems(MASs) under external disturbances and network imperfections, including communication delay and random packet dropout. To comply with the discrete nature of networked systems, in contrast to most of the existing work for MASs under network imperfections,the agents are modeled by discrete-time dynamics. The communication network is considered to be undirected, its delay is considered to be time-varying but bounded, and its packet dropout is modeled by a Bernoulli distributed white sequence.Sufficient conditions in terms of linear matrix inequalities(LMIs)for asymptotic mean-square consensus stability are derived under network imperfections without considering external disturbances.A desired disturbance attenuation level in the presence of both external disturbances and network imperfections is also provided.A simulation example is given to verify the effectiveness of the proposed approach in coping with network imperfection and disturbances.Arezou Elahi Alireza Alfi Hamidreza Modares 2019IEEE/CAA Journal of Automatica Sinica2019,6,3:12
2Contribution of City Prosperity to Decisions on Healthy Building Design: A case study of Tehran显示文摘Department of Architecture Tarbiat Modares University Tehran 2016Frontiers of Architectural Research2016,5,3:6
3Model reference adaptive impedance control for physical human-robot interaction显示文摘这份报纸基于模型引用论述一个新奇提高的人机器人的相互作用系统适应控制。介绍方法交付保证稳定性和任务性能并且让二控制环。一个机器人特定的内部环,是一个 neuroadaptive 控制器,在网上学习机器人动力学并且让机器人象一个规定阻抗模型一样反应。这个环不使用任务信息,包括没有规定轨道。一个任务特定的外部环考虑人的操作符动力学并且使规定机器人阻抗模特儿适应以便联合人机器人的系统为任务性能有理想的特征。这个图案基于模型参考适应控制,但是一种非标准的形式。网络结果是有扩充人的操作符提供人机器人的队的改进任务性能的两个适应阻抗特征和 assistive 输入的一个控制器。模拟在一项重复点对点的运动任务验证建议控制器的表演。一个 PR2 机器人上的实际试验性的实现进一步支持途径的有效性。Bakur ALQAUDI Hamidreza MODARES Isura RANATUNGA Shaikh M. TOUSIF Frank L. LEWIS Dan O. POPA 2016Control Theory and Technology2016,14,1:3
4Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning显示文摘The asymmetric input-constrained optimal synchronization problem of heterogeneous unknown nonlinear multiagent systems(MASs)is considered in the paper.Intuitively,a state-space transformation is performed such that satisfaction of symmetric input constraints for the transformed system guarantees satisfaction of asymmetric input constraints for the original system.Then,considering that the leader’s information is not available to every follower,a novel distributed observer is designed to estimate the leader’s state using only exchange of information among neighboring followers.After that,a network of augmented systems is constructed by combining observers and followers dynamics.A nonquadratic cost function is then leveraged for each augmented system(agent)for which its optimization satisfies input constraints and its corresponding constrained Hamilton-Jacobi-Bellman(HJB)equation is solved in a data-based fashion.More specifically,a data-based off-policy reinforcement learning(RL)algorithm is presented to learn the solution to the constrained HJB equation without requiring the complete knowledge of the agents’dynamics.Convergence of the improved RL algorithm to the solution to the constrained HJB equation is also demonstrated.Finally,the correctness and validity of the theoretical results are demonstrated by a simulation example.Lina Xia Qing Li Ruizhuo Song Hamidreza Modares 2022IEEE/CAA Journal of Automatica Sinica2022,9,3:2
5Ovarian car-cinoma associated with pregnancy:a clinicopathologicanalysis of 23cases and review of the literature显示文摘Behtash N Karimi Zarchi M Modares Gilani M 2008BMC Pregnancy Childbirth2008,8,:1
6Preservation of pregnancy in a patient with advanced ovarian cancer at 20 weeks of gestation: case report and literature review 显示文摘Modares Gilani M Karimi Zarchi M Behtash N 2007Int J Gynecol Cancer2007,17,5:1
7Parame- ter estimation of bilinear systems based on an adap- tive particle swarm optimization 显示文摘Modares H Alfi A Naghibi-sistani M B 2010Engineering Applications of Artificial Intelligence2010,23,7:1
8Good pregnancy outcome after prenatal exposure to bleomycin, etoposide and cisplatin for ovarian immature teratoma: a case report and literature review 显示文摘Karimi Zarehi M Behtash N Modares Gilani M 2008Arch Gynecol Obstet2008,277,1:1
9Competition-based neural network for the multiple travelling salesmen problem with minmax objective显示文摘Samerkae Somhom Abdolhamid Modares Takao Enkawa 1999Computers and Operations Research1999,,4:1
10A self-organizing neural network approach for multiple traveling salesman and vehicle routing problems 显示文摘Modares A Somhom S Enkawa T 1999International Transactions in Operational Research1999,6,6:1
11EMA-EP regimen,as firstline multiple agent chemotherapy in high-risk GTT patients (stage II -IV )显示文摘Ghaemmaghami F Modares M Arab M et aI 2004Int J Gyneco Cancer2004,14,2:1
12Ovarian carcinoma associated with pregnancy:a clinicopathologic analysis of 23 cases and review of the literature显示文摘Behtash N Karimi Zarchi M Modares Gilani M 2008BMC Pregnancy Childbirth2008,8,:1
13Preservation of pregnancy in a patient with advanced ovarian cancer at 20 weeks of gestation: case report and literature review 显示文摘Modares Gilani M Karimi Zarchi M Behtash N 2007Int J Gynecol Cancer2007,17,5:1
14Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning显示文摘In this paper,we present a novel data-driven design method for the human-robot interaction(HRI)system,where a given task is achieved by cooperation between the human and the robot.The presented HRI controller design is a two-level control design approach consisting of a task-oriented performance optimization design and a plant-oriented impedance controller design.The task-oriented design minimizes the human effort and guarantees the perfect task tracking in the outer-loop,while the plant-oriented achieves the desired impedance from the human to the robot manipulator end-effector in the inner-loop.Data-driven reinforcement learning techniques are used for performance optimization in the outer-loop to assign the optimal impedance parameters.In the inner-loop,a velocity-free filter is designed to avoid the requirement of end-effector velocity measurement.On this basis,an adaptive controller is designed to achieve the desired impedance of the robot manipulator in the task space.The simulation and experiment of a robot manipulator are conducted to verify the efficacy of the presented HRI design framework.Yongliang Yang Zihao Ding Rui Wang Hamidreza Modares Donald C.Wunsch 2022IEEE/CAA Journal of Automatica Sinica2022,9,1:1
15Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems显示文摘MODARES H LEWIS F L NAGHIBI-SISTANI M B 2014Automatica2014,50,1:1
16Solving nonlinear optimal control problems using a hybrid IPSO–SQP algorithm显示文摘Hamidreza Modares Mohammad-Bagher Naghibi Sistani 2010Engineering Applications of Artificial Intelligence2010,,3:1
17Competition-based neural network for the multiple travelling salesmen problem with minmax objective显示文摘Somhom S Modares A Enkawa T 1999Computers & Operations Research1999,26,:1
18A self-organizing neural network approach for multiple traveling salesman and vehicle routing problems显示文摘Modares A 1999International Transactions in Operational Research1999,,6:1
19Ovarian carcinoma associated with pregnancy: a clinicopathologicanalysis of 23 cases and review of the literature显示文摘Behtash N Karimi Zarchi M Modares Gilani M 2008BMC Pregnancy Childbirth2008,8,1:1
20A self-organizing neural network approach for multiple traveling salesman and vehicle routing problems显示文摘Abdolhamid Modares 1999International Transaction in Operational Research1999,6,:1
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