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为了提高匹配机械弹性车轮(MEW)的某越野车操纵稳定性,考虑MEW与传统子午线轮胎侧偏特性存在的不确定性摄动,基于Lyapunov稳定性理论为电子稳定控制(ESC)程序设计了鲁棒反馈控制器;引入轮胎侧偏刚度不确定性的范数有界模型,运用Schur补引理和线性矩阵不等式(LMI)求解反馈矩阵。设定不同的车速和路面附着系数,通过搭建CarSim/Simulink联合仿真平台对控制器展开鱼钩试验,仿真结果表明,匹配MEW的ESC控制器能够保证车辆行驶的稳定性,横摆角速度与质心侧偏角跟踪误差分别稳定在0.03~0.3 rad/s与0.06~0.1 rad之内,并且设计的控制算法对MEW在05倍普通充气车轮侧偏刚度变化范围内具有很好的鲁棒性,从而为匹配MEW的整车主动安全控制提供了理论参考。 相似文献
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Giorgio Gosti 《连接科学》2018,30(2):186-210
Many models explain the evolution of signalling in repeated stage games on social networks, differently in this study each signalling game evolves a communication strategy to transmit information across the network. Specifically, I formalise signalling chain games as a generalisation of Lewis' signalling games, where a number of players are placed on a chain network and play a signalling game in which they have to propagate information across the network. I show that probe and adjust learning allows the system to develop communication conventions, but it may temporarily perturb the system out of conventions. Through simulations, I evaluate how long the system takes to evolve a signalling convention and the amount of time it stays in it. This discussion presents a mechanism in which simple players can evolve signalling across a social network without necessarily understanding the entire system. 相似文献
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This paper considers a novel distributed iterative learning consensus control algorithm based on neural networks for the control of heterogeneous nonlinear multiagent systems. The system's unknown nonlinear function is approximated by suitable neural networks; the approximation error is countered by a robust term in the control. Two types of control algorithms, both of which utilize distributed learning laws, are provided to achieve consensus. In the provided control algorithms, the desired reference is considered to be an unknown factor and then estimated using the associated learning laws. The consensus convergence is proven by the composite energy function method. A numerical simulation is ultimately presented to demonstrate the efficacy of the proposed control schemes. 相似文献
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Agent-based modeling (ABM) techniques for studying human-technical systems face two important challenges. First, agent behavioral rules are often ad hoc, making it difficult to assess the implications of these models within the larger theoretical context. Second, the lack of relevant empirical data precludes many models from being appropriately initialized and validated, limiting the value of such models for exploring emergent properties or for policy evaluation. To address these issues, in this paper we present a theoretically-based and empirically-driven agent-based model of technology adoption, with an application to residential solar photovoltaic (PV). Using household-level resolution for demographic, attitudinal, social network, and environmental variables, the integrated ABM framework we develop is applied to real-world data covering 2004–2013 for a residential solar PV program at the city scale. Two applications of the model focusing on rebate program design are also presented. 相似文献
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This article is concerned with the polynomial filtering problem for a class of nonlinear stochastic systems governed by the Itô differential equation. The system under investigation involves polynomial nonlinearities, unknown‐but‐bounded disturbances, and state‐ and disturbance‐dependent noises ((x,d)‐dependent noises for short). By expanding the polynomial nonlinear functions in Taylor series around the state estimate, a new polynomial filter design method is developed with hope to reduce the conservatism of the existing results. In virtue of stochastic analysis and inequality technique, sufficient conditions in terms of parameter‐dependent linear matrix inequalities (PDLMIs) are derived to guarantee that the estimation error system is input‐to‐state stable in probability. Moreover, the desired polynomial matrix can be obtained by solving the PDLMIs via the sum‐of‐squares approach. The effectiveness and applicability of the proposed method are illustrated by two numerical examples with one concerning the permanent magnet synchronous motor. 相似文献
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研究了在Leslie - Gower模型中加入捕食者Allee效应后的模型动力学行为变化.研究表明:加入捕食者Allee效应后,模型的所有正解是一致有界的,唯一的正平衡点是全局渐近稳定的,但两个边界平衡点是不稳定的.Allee效应虽然不会改变正平衡点的稳定性,但其延长了正平衡点趋向稳定状态的时间,同时也改变了原点的性态,即Allee效应不利于系统的稳定性. 相似文献
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Frontiers of Mechanical Engineering - This paper presents a MATLAB implementation of the material-field series-expansion (MFSE) topology optimization method. The MFSE method uses a bounded material... 相似文献