The current state-of-the-art machine intelligence cannot meet the challenges of uncertainty, complexity, time urgency and rapidly changing nature of the dynamic environment in many demanding aerospace applications, su...
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In this paper, we consider a two-dimensional (2-D) formation problem for multi-agent systems subject to switching topologies that dynamically change along both a finite time axis and an infinite iteration axis. We pre...
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ISBN:
(纸本)9781479901777
In this paper, we consider a two-dimensional (2-D) formation problem for multi-agent systems subject to switching topologies that dynamically change along both a finite time axis and an infinite iteration axis. We present a distributed iterative learning control (ILC) algorithm via the nearest neighbor rules. By employing the 2-D approach, we develop both the asymptotic and exponentially fast convergence of our formation ILC, which can be guaranteed by conditions in terms of the spectral radius and the matrix norms, respectively.
Linear MPC has been a major success story in industry. Arguably this is due to its capacity to deal with constraints and its seamless treatment of multivariable problems. Nonlinear MPC has also been extensively studie...
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In this contribution we present a method to estimate structured high order ARX models. By this we mean that the estimated model, despite its high order is close to a low order model. This is achieved by adding two ter...
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In this paper, the weighted distributed order integrator is discussed in both time and frequency domains. The physical backgrounds and the construction of a distributed order element is illustrated by means of the fra...
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In China, the currently mode for aerospace control mission is referred as plan operating mode, whose operations depend fully on theoretical plan. It arranges all events or actions to tracking telemetry and command (TT...
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This paper takes advantage of the integration of subtraction clustering and fuzzy c-means clustering algorithm to obtain precise number of clusters and the degree of membership, and establishes the neural network mode...
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This paper takes advantage of the integration of subtraction clustering and fuzzy c-means clustering algorithm to obtain precise number of clusters and the degree of membership, and establishes the neural network model based on the multiple criterion information fusion and the fuzzy technology. Collecting a variety of data in actual underground mining process and integrating them as a whole, the simulations are performed. Experimental results indicate that the proposed method is valid.
We first introduce three challenges in the procedural modeling of digital architectural heritages and then present a general framework, which integrates several machine intelligence and semantic techniques, e.g., the ...
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Although the Loongson 3 processor, one representative of RISC processors based on MIPS64 instruction set, nowadays gains increasing focus and applications in Servers, memory virtualization, a critical part of a system...
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Airborne mobile sensor network, which is composed of sensor nodes integrated airborne vehicles, draws the attention of many interesting topics in multifarious areas, such as environmental monitoring, battlefield surve...
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