This paper proposes a concurrency strategy based on timed-transition Petri net for scheduling flexible manufacturing system (FMS). Combined with the heuristic function, prior search algorithms explore only one transit...
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This paper proposes a concurrency strategy based on timed-transition Petri net for scheduling flexible manufacturing system (FMS). Combined with the heuristic function, prior search algorithms explore only one transition during each execution, which brings in many redundancy states for the expending procedure. In this paper, we prove that firing some non-conflicting transitions simultaneously can also achieve an optimal schedule. This can help the search algorithm explore deeper successor states and avoid many unnecessary intermediate states. As a result, the search effort can be reduced apparently while the optimality of result is still guaranteed. The experimental results show that the proposed concurrency strategy performs better than the reported methods.
This paper employs a logistical regression classifier for combining particle swarm optimizer and local optimizer to solve dynamic optimization problems. It achieves the ability of automatic transition from global opti...
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This paper employs a logistical regression classifier for combining particle swarm optimizer and local optimizer to solve dynamic optimization problems. It achieves the ability of automatic transition from global optimizer to local optimizer according to the state of solutions. The particle swarm optimizer is used to globally search for a good approximation of the solution and then SQP is applied as the local optimizer for quickly converging to the optima. Experimental results on two complex chemical processes demonstrate that the proposed method can get comparable and even better results than the existed methods in precision and especially in function evaluations.
In this paper a comprehensive introduction for modeling and control of networked evolutionary games (NEGs) via semi-tensor product (STP) approach is presented. First, we review the mathematical model of an NEG, wh...
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In this paper a comprehensive introduction for modeling and control of networked evolutionary games (NEGs) via semi-tensor product (STP) approach is presented. First, we review the mathematical model of an NEG, which consists of three ingredients: network graph, fundamental network game, and strategy updating rule. Three kinds of network graphs are considered, which are i) undirected graph for symmetric games; ii) directed graph for asymmetric games, and iii) d-directed graph for symmetric games with partial neighborhood information. Three kinds of fundamental evolutionary games (FEGs) are discussed, which are i) two strategies and symmetric (S-2); ii) two strategies and asymmetric (A-2); and iii) three strategies and symmetric (S-3). Three strategy updating rules (SUR) are introduced, which are i) Unconditional Imitation (UI); ii) Fermi Rule(FR); iii) Myopic Best Response Adjustment Rule (MBRA). First, we review the fundamental evolutionary equation (FEE) and use it to construct network profile dynamics (NPD)of NEGs.
To show how the dynamics of an NEG can be modeled as a discrete time dynamics within an algebraic state space, the fundamental evolutionary equation (FEE) of each player is discussed. Using FEEs, the network strategy profile dynamics (NSPD) is built by providing efficient algorithms. Finally, we consider three more complicated NEGs: i) NEG with different length historical information, ii) NEG with multi-species, and iii) NEG with time-varying payoffs. In all the cases, formulas are provided to construct the corresponding NSPDs. Using these NSPDs, certain properties are explored. Examples are presented to demonstrate the model constructing method, analysis and control design technique, and to reveal certain dynamic behaviors of NEGs.
The vast majority of strategies aimed at controlling contagion processes on networks consider the connectivity pattern of the system either quenched or annealed. However, in the real world, many networks are highly dy...
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The vast majority of strategies aimed at controlling contagion processes on networks consider the connectivity pattern of the system either quenched or annealed. However, in the real world, many networks are highly dynamical and evolve, in time, concurrently with the contagion process. Here, we derive an analytical framework for the study of control strategies specifically devised for a class of time-varying networks, namely activity-driven networks. We develop a block variable mean-field approach that allows the derivation of the equations describing the coevolution of the contagion process and the network dynamic. We derive the critical immunization threshold and assess the effectiveness of three different control strategies. Finally, we validate the theoretical picture by simulating numerically the spreading process and control strategies in both synthetic networks and a large-scale, real-world, mobile telephone call data set.
Very low abundance protein molecular detection,especially for early diagnosis of cancer markers detection is extremely difficult,with the development of single-cell omics in the recent years,there is no a better appro...
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Very low abundance protein molecular detection,especially for early diagnosis of cancer markers detection is extremely difficult,with the development of single-cell omics in the recent years,there is no a better approach for precise quantification of protein molecules within a single *** intend to develop an novel digital proximity ligation assay chip for single protein molecule detection,which integrates the proximity ligation assay for protein detection with the self-priming compartmentalization digital PCR chip to develop an absolute quantitative method for single protein molecule counting-digital proximity ligation *** method can provide a new tool for single molecule proteins detection of low abundance proteins and absolute quantification of single cell protein molecule *** the advantages of high detection sensitivity,strong specificity,low sample consumption,simple operation,testing equipment common and so on,the digital PLA method not only can detect trace amounts of tumor protein markers in the serum with tiny nonspecific detection,and the number of protein molecules in a single cell by single molecule *** to the existing single molecule enzyme-linked immunoassays detection technology,it is more simple,less sample consumption,better sensitivity and *** the early diagnosis of cancer,the occurrence and development of tumor,drug screening,single cell analysis and identification of cancer stem cells,digital PLA will have important application value and practical value.
Wireless links provides great convenience in node deployment. But its limited bandwidth brings challenge for large volume transmission tasks. Compressive sensing (CS) is a promising solution for this problem. In this ...
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This paper investigates the problem of finite-time H∞filtering for networked controlsystems(NCS)with time delay and packet loss ***,a switching model is utilized to describe these network-induced imperfections,which...
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ISBN:
(纸本)9781479947249
This paper investigates the problem of finite-time H∞filtering for networked controlsystems(NCS)with time delay and packet loss ***,a switching model is utilized to describe these network-induced imperfections,which can be denoted as three switching ***,in the case of packet dropout,the first-order holder(FOH)is constructed to make the controller use the previous state.A full-order filter is designed to estimate the output signal of the *** on the employed appropriate Lyapunov-Krasovskii functional and auxiliary slack matrices,sufficient conditions are derived in terms of linear matrix inequalities(LMIs),which can ensure the resulting filtering error dynamical system is bounded and satisfies a prescribed H∞disturbance attenuation in a fixed finite-time ***,a numerical example is exploited to demonstrate the applicability and validity of the proposed filter design method.
In this paper, we consider input-affine invertible MIMO nonlinear systems which can be transformed into a special normal form by means of the structure algorithm. The normal form highlights a partial state, a subset o...
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In this paper, we consider input-affine invertible MIMO nonlinear systems which can be transformed into a special normal form by means of the structure algorithm. The normal form highlights a partial state, a subset of state variables, which plays in this setting a role similar to that of the outputs and its derivatives in a SISO system. It is shown that, if a system in this class can be asymptotically stabilized by means of a static feedback from that partial state, then semiglobal stabilization can be achieved via dynamic feedback driven by the output of the system. The dynamic feedback in question is based a (non–trivial) extension to MIMO systems of the standard high–gain observer.
This paper investigates the modeling and H∞ composite control of the coupled hysteretic dynamics in a piezoelectric micro-displacement system (PMS). First, the coupled multi-field hysteretic dynamics with physical me...
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ISBN:
(纸本)9789897580390
This paper investigates the modeling and H∞ composite control of the coupled hysteretic dynamics in a piezoelectric micro-displacement system (PMS). First, the coupled multi-field hysteretic dynamics with physical meanings is presented for PMS. Next, the composite control analysis of the hysteretic dynamics is proposed. Then, a H∞ synthesis controller is designed by using the simplified hysteretic dynamics. To enhance the H∞ performance, the inversion-based feedforward compensation is augmented. The proposed H∞ feedback control and the inversion-based feedforward can be designed separately. Finally, the experimental studies are provided to demonstrate the proposed H∞ composite control approach.
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