The adaptive control system with reference models of local subsystems was considered. The proposed control algorithms were proved to provide zero errors of following the local reference models under a priori uncertain...
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The adaptive control system with reference models of local subsystems was considered. The proposed control algorithms were proved to provide zero errors of following the local reference models under a priori uncertainty of the parameters and interrelations of the subsystems. In doing so, only the measurable variables of the local subsystems were used to generate the control actions and in the adjustment algorithms, that is, control was totally decentralized.
We have developed a transfer matrix algorithm for the enumeration of compact self-avoiding walks on rectangular strips of the square lattice. The algorithm is easily adapted to other shapes or generalized to problems ...
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We have developed a transfer matrix algorithm for the enumeration of compact self-avoiding walks on rectangular strips of the square lattice. The algorithm is easily adapted to other shapes or generalized to problems such as interacting walks. These models are relevant in the study of globular proteins. (C) 2001 Elsevier Science B.V. All rights reserved.
We have developed a transfer matrix algorithm for the enumeration of compact self-avoiding walks on rectangular strips of the square lattice. The algorithm is easily adapted to other shapes or generalized to problems ...
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We have developed a transfer matrix algorithm for the enumeration of compact self-avoiding walks on rectangular strips of the square lattice. The algorithm is easily adapted to other shapes or generalized to problems such as interacting walks. These models are relevant in the study of globular proteins. (C) 2001 Elsevier Science B.V. All rights reserved.
In this paper we will describe our recent results related to the design of hybrid on-line Failure Detection and Identification (FDI) and Adaptive Reconfigurable Control (ARC) algorithms for aerial and space vehicles. ...
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ISBN:
(纸本)0780367332
In this paper we will describe our recent results related to the design of hybrid on-line Failure Detection and Identification (FDI) and Adaptive Reconfigurable Control (ARC) algorithms for aerial and space vehicles. Our approach is based on the Multiple Models, Switching and Tuning (MMST) methodology and its extensions, and has been demonstrated as an efficient tool for hybrid fault tolerant control under subsystem and component failures and structural damage.
Partially Observable Markov Decision Process (POMDP) is a general sequential decision-making model where the effects of actions are nondeterministic and only partial information about world states is available. Howeve...
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Partially Observable Markov Decision Process (POMDP) is a general sequential decision-making model where the effects of actions are nondeterministic and only partial information about world states is available. However, finding near optimal solutions for POMDPs is computationally difficult. Value iteration is a standard algorithm for solving POMDPs. It conducts a sequence of dynamic programming (DP) updates to improve value functions. Value iteration is inefficient for two reasons. First, a DP update is expensive due to the need of accounting for all belief states in a continuous belief space. Second, value iteration needs to conduct a large number of DP updates before its convergence. This thesis investigates two ways to accelerate value iteration. The work presented centers around the idea of conducting DP updates and therefore value iteration over a belief subspace, a subset of belief space. The first use of belief subspace is to reduce the number of DP updates for value iteration to converge. We design a computationally cheap procedure considering a belief subspace which consists of a finite number of belief states. It is used as an additional step for improving value functions. Due to additional improvements by the procedure, value iteration conducts fewer DP updates and therefore is more efficient. The second use of belief subspace is to reduce the complexity of DP updates. We establish a framework on how to carry out value iteration over a belief subspace determined by a POMDP model. Whether the belief subspace is smaller than the belief space is model dependent. If this is true for a POMDP, value iteration over the belief subspace is expected to be more efficient. Based on this framework, we study three POMDP classes with special problem characteristics and propose different value iteration algorithms for them. (1) An informative POMDP assumes that an agent always has a good idea about the world states. The subspace determined by the model is much smaller th
The throughput results for file transfers using file sizes ranging from 1 Kbytes through 1 Mbytes using both the standard TCP/IP and SCPS protocol stacks over a PPP link are reported. Channel properties were simulated...
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ISBN:
(纸本)0780365992
The throughput results for file transfers using file sizes ranging from 1 Kbytes through 1 Mbytes using both the standard TCP/IP and SCPS protocol stacks over a PPP link are reported. Channel properties were simulated using a space channel simulator with a range of balanced and unbalanced link speeds and channel error rates. The throughput results will show the effects of link configuration and channel error rate on file transfer time. The host computer configuration options for the protocols are factored into the comparison. The throughput reporting shows the effects of header compression and selection of congestion algorithm upon the results. The TCP/IP ftp and SCPS-FP using VJ congestion control algorithm results give similar results and better results than SCPS-FP with the Vegas congestion control algorithm in these experiments. No noticeable delay effects were noted with links delays corresponding to GEO orbits with file transfers of 1 Mbytes.
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