This paper studies semi-global containment control problem for a multi-agent system. Each follower agent in the system is described by a general linear system in the presence of both actuator position and rate saturat...
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This paper studies semi-global containment control problem for a multi-agent system. Each follower agent in the system is described by a general linear system in the presence of both actuator position and rate saturation. A linear state feedback containment control law is constructed for each follower agent by using low gain approach such that the states of all follower agents will converge to the convex hull formed by the leader agents asymptotically when the communication topology among follower agents is a connected undirect graph and each leader agent is a neighbor of at least one follower agent. Simulation results illustrate the theoretical results.
Probabilistic model has already been widely used for process monitoring. However, the obtained factors may contain quality-unrelated information, which is harmful to the quality-related process monitoring. Meanwhile, ...
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Probabilistic model has already been widely used for process monitoring. However, the obtained factors may contain quality-unrelated information, which is harmful to the quality-related process monitoring. Meanwhile, considering the situation of unequal sample rates of process and quality variables, a semi-supervised orthogonal factor analysis(Semi-SOFA) model is presented, further, to improve robustness, Semi-SOFA is extended to weighted form(WSemi-SOFA). This paper performs orthogonal decomposition on the obtained factors, which divides them into two parts: quality-related one and quality-unrelated one. Based on it, the corresponding T statistics are designed to offer quality-related process monitoring, respectively. Besides, SPE statistics are constructed as supplement to monitor residuals. For effectiveness demonstration of the proposed method, TE benchmark is utilized.
In this paper, we consider the security problem of public opinions when it has terrorists who try to guide people's opinions to malicious ones in social network. First, we propose an opinion dynamics model, which ...
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In this paper, we consider the security problem of public opinions when it has terrorists who try to guide people's opinions to malicious ones in social network. First, we propose an opinion dynamics model, which is composed by the suspects, the defenders and the masses. In this model, a set of suspects influenced by the terrorists at the beginning send malicious opinions to their neighbors. Similarly, the defenders spread the government's opinion to resist people's opinions following that of terrorists. Second, we consider the random communication among neighbours, where people can not interact with each other every time. At the last, we provide a sufficient condition to ensure the convergence of the expected opinions of the system. Finally, we provide some numerical examples to illustrate all the derived results.
This paper endeavors to investigate the sliding mode control (SMC) issue of the networked state-saturated systems. For the energy saving purpose in network communication, a dynamic event-triggering mechanism is employ...
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ISBN:
(纸本)9781728102634
This paper endeavors to investigate the sliding mode control (SMC) issue of the networked state-saturated systems. For the energy saving purpose in network communication, a dynamic event-triggering mechanism is employed to SMC design by introducing interval dynamic variable. With the aid of some appropriate Lyapunov functionals, the sufficient conditions are derived to ensure the asymptotic stability of the sliding mode dynamics and the reachability of the specified sliding surface. Moreover, a convex optimization algorithm is formulated to solve the dynamic event-triggering SMC law. Finally, a numerical example is provided to illustrate the effectiveness of the proposed results.
In this paper, a velocity adaptive shuffled frog leaping bat algorithm(VASFLBA) is proposed to solve the problem that the bat algorithm(BA) is easy to fall into local optimum and a lack of deep local search ability. F...
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ISBN:
(纸本)9781509046584
In this paper, a velocity adaptive shuffled frog leaping bat algorithm(VASFLBA) is proposed to solve the problem that the bat algorithm(BA) is easy to fall into local optimum and a lack of deep local search ability. Firstly, the influence of the current stochastic local optimal solution on the search of the algorithm is considered. Two adaptive proportional regulation factors are introduced to balance global and local search. Then, the locally deep search ability is enhanced by using the meme transfer mechanism of shuffled frog leaping algorithm(SFLA). In addition, stochastic population competition is introduced to improve the global search ability and when the algorithm trapped in the local optimum, differential mutation operation is performed on the current global optimal bat so that the algorithm can jump out of the local optimum. The superiority of VASFLBA is verified by benchmark test functions. On this basis, VASFLBA is used to optimize the parameters of support vector machine(SVM) in intrusion detection of industrial control system(ICS), and the standard dataset for ICS intrusion detection is used for simulation. The results show that, compared with BA, SFLA and other algorithms, VASFLBA can better solve the problem of SVM parameters selection.
In this paper, we study two-player evolutionary prisoner's dilemma on regular graphs and identify the stochastically stable equilibria for infinite populations. We consider four different update rules: Birth-death...
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chemical process optimization problems are often modeled as dynamic optimization problems (DOPs). Due to the nonlinear, multimodal and multi-dimensional nature of DOPs, efficient solution of DOPs is a very challenging...
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chemical process optimization problems are often modeled as dynamic optimization problems (DOPs). Due to the nonlinear, multimodal and multi-dimensional nature of DOPs, efficient solution of DOPs is a very challenging task. In this paper, a new intelligent search algorithm called symbiotic organisms search (SOS) is proposed for tackling the chemical DOPs. SOS mainly mimics three symbiotic relationships in ecosystem, namely mutualism, commensalism and parasitism, to perform global search. In addition, compared with previous intelligent search algorithms, SOS has the advantages of no tuning parameters, easy to implement and high performance. Combined with control vector parameterization, the proposed SOS is applied to solve five chemical DOPs with different levels of complexity. Simulation results show that SOS can achieve solutions with accuracy comparable to those methods in the literature, and thus can be regarded as an effective tool for the chemical DOPs.
This paper studies semi-global containment control problem for a multi-agent system. Each follower agent in the system is described by a general linear system in the presence of both actuator position and rate saturat...
详细信息
This paper studies semi-global containment control problem for a multi-agent system. Each follower agent in the system is described by a general linear system in the presence of both actuator position and rate saturation. A linear state feedback containment control law is constructed for each follower agent by using low gain approach such that the states of all follower agents will converge to the convex hull formed by the leader agents asymptotically when the communication topology among follower agents is a connected undirect graph and each leader agent is a neighbor of at least one follower agent. Simulation results illustrate the theoretical results.
The scaled consensus problem for second-order multi-agent systems is studied in this paper. A novel scaled consensus algorithm combining impulsive control and sampled control is proposed to make the agents' states...
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The scaled consensus problem for second-order multi-agent systems is studied in this paper. A novel scaled consensus algorithm combining impulsive control and sampled control is proposed to make the agents' states achieve a common quantity but of their own scales. In the proposed algorithm, a special function, named intermittent function, is introduced to represent the control duration and the rest duration. Specifically, by selecting special functions as the proposed intermittent functions, the scaled consensus algorithm can drop into impulsive control or sampled control. Several necessary and sufficient conditions are derived to ensure scaled consensus of the controlled second-order multi-agent systems under directed graph. An example is provided to validate the theoretical analysis.
Probabilistic model has already been widely used for process monitoring. However, the obtained factors may contain quality-unrelated information, which is harmful to the quality-related process monitoring. Meanwhile, ...
详细信息
Probabilistic model has already been widely used for process monitoring. However, the obtained factors may contain quality-unrelated information, which is harmful to the quality-related process monitoring. Meanwhile, considering the situation of unequal sample rates of process and quality variables, a semi -supervised orthogonal factor analysis (Semi -SOFA) model is presented, further, to improve robustness, Semi-SOFA is extended to weighted form (WSemi-SOFA). This paper performs orthogonal decomposition on the obtained factors, which divides them into two parts: quality-related one and quality-unrelated one. Based on it, the corresponding T 2 statistics are designed to offer quality-related process monitoring, respectively. Besides, SPE statistics are constructed as supplement to monitor residuals. For effectiveness demonstration of the proposed method, TE benchmark is utilized.
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