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The optimization of multi-criteria facility-based systems(MFBSs) is investigated through vector-potential function approach. To begin with, an MFBS with multiple pre-assigned system performance criteria is transformed into a multi-criteria potential game with given system performance criteria as its vector-potential function by designing proper facility-cost functions(FCFs). A linear system is presented, which turns the problem of designing suitable FCFs into checking whether a solution of the linear system exists. Then, a sufficient and necessary condition is presented for the verification of Pareto equilibria according to set relations. Next, dynamic behaviors of an MFBS is analyzed. The existence and convergence of Pareto equilibria are proved, showing that desirable global optimization can be achieved when each agent optimizes his(her) vector-utility functions. Finally, the approach is extended to constrained MFBSs, in which facilities are partly designable or restricted. 相似文献
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By resorting to the vector space structure of finite games, skew-symmetric games (SSGs) are proposed and investigated as a natural subspace of finite games. First of all, for two player games, it is shown that the skew-symmetric games form an orthogonal complement of the symmetric games. Then for a general SSG its linear representation is given, which can be used to verify whether a finite game is skew-symmetric. Furthermore, some properties of SSGs are also obtained in the light of its vector subspace structure. Finally, a symmetry-based decomposition of finite games is proposed, which consists of three mutually orthogonal subspaces: symmetric subspace, skew-symmetric subspace and asymmetric subspace. An illustrative example is presented to demonstrate this decomposition. 相似文献
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This paper deals with chained form systems with strongly nonlinear disturbances and drift terms. The objective is to design robust nonlinear output feedback laws such that the closed-loop systems are globally exponentially stable. The systematic strategy combines the input-state-scaling technique with the so-called backstepping procedure. A dynamic output feedback controller for general case of uncertain chained system is developed with a filter of observer gain. Furthermore, two special cases are considered which do not use the observer gain filter. In particular, a switching control strategy is employed to get around the smooth stabilization issue (difficulty) associated with nonholonomic systems when the initial state of system is known. 相似文献
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给出了SISO非线控制系统的点相对阶的概念,以此得出一般Brrnes-Isidori标准形式.并对于具有最小相位非线性系统,给出了渐近稳定的充分条件;对于具有非最小相位系统,通过设计控制器来构建中心流形的方法,给出了其渐近稳定性的证明. 相似文献
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文章首先对控制论的产生及其历史作一简要回顾。其次,分析了控制论的一些学科特点。指出它既是一个应用数学分支,对数学有很强的依赖;又是一个服务性学科,同样深刻依赖于科学技术的前沿发展。接着指出,目前控制论已从学科理论主导的研究转入应用导向的理论研究阶段,并分析了它的几个特征,介绍了当前4个以应用为导向的研究热点:(1)复杂系统控制;(2)网络控制;(3)运动控制;(4)过程控制。最后,笔者提出对控制论发展的一些展望:包括前瞻的研究方向以及控制论未来的几个发展趋势:(1)控制论的泛化;(2)智能化的增强;(3)理论上的突破。 相似文献
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The incomplete-profile normal form game (IPNFG), which contains several infeasible profiles, is considered. First, the dynamics of evolutionary IPNFG are presented. Then a method is provided to verify whether an IPNFG is potential. Certain properties of potential IPNFGs are revealed. Next, an algorithm is provided to search the feasible set to guarantee that the corresponding IPNFG is potential. In addition, the decomposition of an IPNFG is investigated. Finally, for an IPNFG with several feasible sets, an algorithm is proposed to find the one which makes the corresponding IPNFG closest to a potential game. 相似文献
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Feng Lei Zhou Daizhan Luo Chenqi Shen Junhui Wang Wenzhe Lu Yifei Wu Jian Yao Ke 《Journal of Zhejiang University. Science. B》2021,22(6):504-511
The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis(ARN). The potential application of artificial intelligence(AI) algorithms in these areas of clinical research has not been reported previously. The present study aims to create a computational algorithm for the automated detection and evaluation of retinal necrosis from retinal fundus photographs. A total of 149 wide-angle fundus photographs from40 eyes of 32 ARN patients were collected, and the U-Net method was used to construct the AI algorithm. Thereby, a novel algorithm based on deep machine learning in detection and evaluation of retinal necrosis was constructed for the first time. This algorithm had an area under the receiver operating curve of 0.92, with 86% sensitivity and 88% specificity in the detection of retinal necrosis. For the purpose of retinal necrosis evaluation, necrotic areas calculated by the AI algorithm were significantly positively correlated with viral load in aqueous humor samples(R2=0.7444, P0.0001) and therapeutic response of ARN(R2=0.999, P0.0001). Therefore, our AI algorithm has a potential application in the clinical aided diagnosis of ARN, evaluation of ARN severity, and treatment response monitoring. 相似文献
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