This paper revisits the synchronisation problem for second-order multi-agent systems(MASs)under dynamically changing communication *** employing the reference model-based synchronisation algorithm,it is finally shown ...
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This paper revisits the synchronisation problem for second-order multi-agent systems(MASs)under dynamically changing communication *** employing the reference model-based synchronisation algorithm,it is finally shown that synchronisation for both the position and velocity states can be achieved if the union of the communication topologies has a directed spanning tree frequently *** extends the existing results obtained for second-order MASs which exploits mild communication topology condition guaranteeing the synchronisation to a more general *** analysis is successfully performed by exploiting the product properties of row-stochastic matrices,which can also provide us with an estimate the convergence rate towards the synchronisation.
Tail rotor failure is one of the major failures occurring frequently and causing accidents. In this paper we investigate Tail Rotor control Failure(TRCF) based on helicopter dynamic models. There is no notable work re...
Tail rotor failure is one of the major failures occurring frequently and causing accidents. In this paper we investigate Tail Rotor control Failure(TRCF) based on helicopter dynamic models. There is no notable work reported in the literature on control of a small helicopter with TRCF. In contrast to hover mode, forward flight improves yaw damping naturally. The yaw damping is investigated at hover mode and in forward flight. Multi-loop PID controller, Fuzzy PID controller and full state feedback controller based on LQR are designed as per ADS-33PRF requirements to control the helicopter when the tail rotor control failure occurs in forward flight. Robustness in terms of stabilizing ability of developed controllers is also analyzed. All developed control schemes are tested in Matlab/Simulink environment including linear as well as non-linear simulations.
Localization of an autonomous mobile robot has always been a topic of interest in Robotics community. The constraints of working under different environments are constantly a challenge in designing an efficient locali...
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Teaching mechatronics is a great challenge since the subject is a multidisciplinary area of electrical, mechanical and IT knowledge. Students must deepen their knowledge in these slightly related fields of engineering...
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Teaching mechatronics is a great challenge since the subject is a multidisciplinary area of electrical, mechanical and IT knowledge. Students must deepen their knowledge in these slightly related fields of engineering. Tasks and solving problems in mechatronics require cognitive and operational knowledge and practical experience about systems design and analysis. Since mechatronics engineering is a fast-developing and practice-oriented field placing more emphasis practical and project-based education at universities is strongly encouraged by the industry. The paper presents an educational framework designed for students with a specialization in vehicle mechatronics. The aim of the system is to provide the emulation of a real vehicle module, which must be operated by appropriately designed controller unit.
Nonlinear dynamics of a semiconductor laser subjected external optical is applied to all-optical clock division. By properly adjusting the injection conditions, the divide-by-two clock division and the divide-by-three...
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The attractiveness of single crystal SiC in a variety of high power, high voltage, and high temperature device applications such as electric vehicles and jet engines is counteracted by the very high cost of substrates...
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The attractiveness of single crystal SiC in a variety of high power, high voltage, and high temperature device applications such as electric vehicles and jet engines is counteracted by the very high cost of substrates. Precision cutting of multiple micrometre thick SiC layers and transferring them to lower cost substrates would drive the cost down and allow expanding the use of single crystal SiC. In this study, laser beam processing has been utilized to exfoliate thin layers from a surface of single crystal SiC that was prepared with hydrogen and boron ion implantation. The layer thickness of 1 μm has been achieved by ion implantation that formed voids and microcracks under the surface at a layer of 150 nm thick. High energy laser pulses provided the layer removal and its transfer to bonded Si substrate has been shown. Exfoliated surfaces and topography have been evaluated with Scanning Electron Microscopy. Furthermore, thermal modelling of pulse laser irradiation of implanted multi-layer SiC material has been conducted and temperature profiles are obtained at different peak pulse intensity settings to optimize exfoliation process parameters. It was found that laser exfoliation mechanism can be further improved by higher optical absorptance of defect rich layer obtained with boron ion implantation.
This paper is concerned with the identification problems of linear parameter varying (LPV) systems with randomly missing output data. Since one local linearized model cannot capture the global dynamics of the nonlinea...
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This paper is concerned with the identification problems of linear parameter varying (LPV) systems with randomly missing output data. Since one local linearized model cannot capture the global dynamics of the nonlinea...
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This paper is concerned with the identification problems of linear parameter varying (LPV) systems with randomly missing output data. Since one local linearized model cannot capture the global dynamics of the nonlinear industrial process, the multiple-model LPV model in which the global model is constructed by smoothly weighted combination of multiple local models is considered here. The problem of missing output variables data is commonly encountered in practice. In order to handle the multiple-model identification problems of LPV systems with incomplete data, the local model is taken to have a finite impulse response (FIR) model structure and the generalized expectation-maximization (EM) algorithm is adopted to estimate the unknown parameters of the global LPV model. To avoid the problems of ill-conditioned matrices and high sensitivity of parameters to noise, the prior information on the coefficients of each local FIR model is employed to construct the prior probability of unknown parameters. Then the maximum a posteriori (MAP) estimates of the global model parameters are derived via the generalized EM algorithm. The numerical example is presented to demonstrate the effectiveness of the proposed method.
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