This paper is concerned with invariant systems on Lie groups. A sufficient condition for a piecewise constant input to distinguish between any two distinct initial states contained in some open neighbourhood of the st...
This paper is concerned with invariant systems on Lie groups. A sufficient condition for a piecewise constant input to distinguish between any two distinct initial states contained in some open neighbourhood of the state space is given. This condition involves the parallel translation of vectors along curves thus relating observability to parallelism.
A method is presented for the systematic design of decentralized controllers for large-scale interconnected dynamical systems. The design method employs modal and singular perturbation techniques to affect decoupling ...
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A method is presented for the systematic design of decentralized controllers for large-scale interconnected dynamical systems. The design method employs modal and singular perturbation techniques to affect decoupling of the interconnection into its subsystem components. Once the decoupling is achieved, local controllers for each subsystem are designed individually to place the closed-loop poles of each subsystem in some prespecified locations in the complex plane. The resulting controllers are then used to generate local control inputs, using local information only. A dynamical system comprising four interconnected subsystems is taken as example. Simulation results show that the decentralized controller obtained by the proposed method is comparable to that obtained by conventional global controller design methods.
This letter puts forth a new hybrid horizontal-vertical federated learning (HoVeFL) for mobile edge computing-enabled Internet of Things (EdgeIoT). In this framework, certain EdgeIoT devices train local models using t...
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A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network into a two-branc...
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ISBN:
(数字)9798331521950
ISBN:
(纸本)9798331521967
A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network into a two-branch ViT architecture by using classification tokens in each branch to interact with picture embeddings in the other branch, which facilitates effective interactions between different scales of information. Subsequently, audio features are extracted using ResNet18 network. The cross-modal attention mechanism is used to obtain the weight matrices between different modal features, making full use of inter-modal correlation and effectively fusing visual and audio features for more accurate emotion recognition. Two datasets are used for the experiments: eNTERFACE'05 and REDVESS dataset. The experimental results show that the accuracy of the proposed method on the eNTERFACE'05 and REDVESS datasets is 85.42% and 83.84% respectively, which proves the effectiveness of the proposed method.
This paper considers an adaptive minimal observer synthesis algorithm based upon a well-known model reference adaptive system strategy. This algorithm gives state and parameter estimation from output feedback alone fo...
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This paper considers an adaptive minimal observer synthesis algorithm based upon a well-known model reference adaptive system strategy. This algorithm gives state and parameter estimation from output feedback alone for single input single output processes and results are presented which illustrate its excellent convergence properties.
We propose a technique for synthesizing robust feedback systems for plants described by nonlinear integro-differential equations (NIDE) with considerable coefficient uncertainties. The technique is based on the concep...
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We propose a technique for synthesizing robust feedback systems for plants described by nonlinear integro-differential equations (NIDE) with considerable coefficient uncertainties. The technique is based on the concept of generalized frequency response functions (GFRF), and exploits recent results that enable ready derivation of these from the NIDE description of the plant. A powerful synthesis procedure that combines the GFRF and quantitative feedback theory (QFT) technique is given. The proposed procedure has several advantages over the existing nonlinear QFT methods. A nonlinear chemical reactor example is solved using the procedure, and is found to yield satisfactory results. (C) 1997 Elsevier Science Ltd.
The problem of supervisor synthesis for discrete-event systems (DES) has been proven to be NP-hard. Nevertheless, state tree structures (STS) have turned out to be a computationally efficient framework to design super...
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A barrier is a method for synchronizing a large number of concurrent computer processes. After consideration of some basic synchronization mechanisms, a collection of barrier algorithms with either linear or logarithm...
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A barrier is a method for synchronizing a large number of concurrent computer processes. After consideration of some basic synchronization mechanisms, a collection of barrier algorithms with either linear or logarithmic depth will be presented. A graphical model is described that profiles the execution of the barriers and other parallel programming constructs. This model shows that in order to achieve the best performance, different situations call for different barrier implementations. Timing experiments supporting these conclusions are detailed.
The fast implementation of the linear and of the angular velocities of the end-effector of robotic manipulators, using the distributed arithmetic technique is described. The linear and angular velocities of the end-ef...
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The fast implementation of the linear and of the angular velocities of the end-effector of robotic manipulators, using the distributed arithmetic technique is described. The linear and angular velocities of the end-effector as well as the positional and the orientational Jacobian matrices is calculated by a cascade configuration of two pipelined arrays. The building blocks of the arrays are the distributed arithmetic-based circuits that implement the matrix-vector multiplications involved in the calculations. The digit-serial configuration of the proposed implementation of the linear and angular velocities of the end-effector is described, while the serial and the parallel configurations may result as special cases of the digit-serial configuration. The proposed distributed arithmetic computer architecture may be used in the real-time operation of the robot control system that requires the on-line computation of the position, of the linear and angular velocities of the end-effector and of the Jacobian matrix.
We consider the problem of learning time-varying functions in a distributed fashion, where agents collect local information to collaboratively achieve a shared estimate. This task is particularly relevant in control a...
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