The paper deals with a novel application of the wireless data communication for a continual control of the distributed manipulation systems. The solution is intended for industrial robotic plants. A considered way of ...
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The problem of receding horizon predictive control of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of linear parameter vary...
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The problem of receding horizon predictive control of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of linear parameter varying system, and then, by considering semi-definite programming constraints, weight coefficients between each vertex are calculated, and the equal coefficients matrices for the time variable system are obtained. Second, in the given receding horizon, for each mode sequence of the stochastic convex polyhedron linear parameter varying systems, the optimal control input sequences are designed in order to make the states into a terminal invariant set. Outside of the receding horizon, stability of the system is guaranteed by searching a state feedback control law. Finally, receding horizon predictive controller is designed in terms of linear matrix inequality for such system. Simulation example shows the validity of this method.
Simultaneous Localization and Mapping (SLAM) algorithms with multiple autonomous robots have received considerable attention in recent years. In general, SLAM algorithms use odometry information and measurements from ...
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ISBN:
(纸本)9781467324199
Simultaneous Localization and Mapping (SLAM) algorithms with multiple autonomous robots have received considerable attention in recent years. In general, SLAM algorithms use odometry information and measurements from exteroceptive sensors of robots. The accuracy of these measurements and the performance of the corresponding SLAM algorithm directly affect the overall success of the system. This paper presents comparative performance evaluations of three Simultaneous Localization and Mapping (SLAM) algorithms using Extended Kalman Filter (EKF), Compressed Extended Kalman Filter (CEKF) and Unscented Kalman Filter (UKF). Specifically, it focuses on their SLAM performances and processing time requirements. To show the effect of CPU power on the processing time of SLAM algorithms, two notebooks and a netbook with different specifications have been used. Comparative simulation results show that processing time requirements are consistent with the computational complexities of SLAM algorithms. The results we obtained are consistent with the CPU power tests of independent organizations and show that higher processing power decreases processing time accordingly. The results also show that CEKF is more suitable for outdoor SLAM applications where there are a lot of natural and artificial features.
This paper investigates the synchronization problem of a complex dynamical network with non-identical nodes and switching *** an equilibrium for each node nor a synchronization manifold is assumed to *** select averag...
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ISBN:
(纸本)9781467315241
This paper investigates the synchronization problem of a complex dynamical network with non-identical nodes and switching *** an equilibrium for each node nor a synchronization manifold is assumed to *** select average state trajectory as the target of synchronization and establish the error dynamical *** single Lyapunov function method and the bounded synchronization theory, the switching law design method presented which guarantee the bounded synchronization of switched dynamical networks with non-identical *** results verify the validity of the results.
In this paper, we propose a method for designing continuous gain-scheduled robust H_∞ observer on a class of extended stochastic nonlinear systems subject to time delay and actuator saturation. Initially, gradient li...
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ISBN:
(纸本)9781457710957
In this paper, we propose a method for designing continuous gain-scheduled robust H_∞ observer on a class of extended stochastic nonlinear systems subject to time delay and actuator saturation. Initially, gradient linearization procedure is applied to describe such extended nonlinear systems into several model-based linear systems. Next, a robust linear H_∞ observer is designed to such linear stochastic models. Subsequently, a convex hull set is investigated and sufficient condition is derived in terms of feedback observer to determine whether a given initial condition belongs to an ellipsoid invariant set. Finally, continuous gain-scheduled approach is employed to design continuous nonlinear observers on the entire extended nonlinear jump system. A simulation example is given to illustrate the effectiveness of developed techniques.
作者:
Gábor SzederkényiZ. A. TuzaKatalin M. HangosProcess Control Research Group
Computer and Automation Research Institute Hungarian Academy of Sciences. Kende u. 13-17 H-1111 Budapest Hungary and Faculty of Information Technology Pázm Hungary Faculty of Information Technology
Pázmány Péter Catholic University Práter u. 50/a H-1083 Budapest Hungary Process Control Research Group
Computer and Automation Research Institute Hungarian Academy of Sciences. Kende u. 13-17 H-1111 Budapest Hungary and Dept. of Electrical Engineering and Informatio Hungary
A numerical method is proposed in this paper for the computation of dense and sparse reaction network structures for kinetic polynomial models with uncertain parameters represented as intervals. The problem is traced ...
A numerical method is proposed in this paper for the computation of dense and sparse reaction network structures for kinetic polynomial models with uncertain parameters represented as intervals. The problem is traced back to mixed integer linear programming.
This paper proposes a grid-connected Permanent Magnet Synchronous Generator (PMSG) driven by the wind turbine with harmonics, reactive power and unbalances compensation capability. The proposed wind energy conversion ...
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This paper proposes a grid-connected Permanent Magnet Synchronous Generator (PMSG) driven by the wind turbine with harmonics, reactive power and unbalances compensation capability. The proposed wind energy conversion system consists of a PMSG coupled to a diode-bridge rectifier, a DC-to-DC converter and a three-phase four-wire inverter. The diode-bridge rectifier is used as an AC-DC converter. The DC-DC converter is used to achieve maximum Power Point Tracking (MPPT) for the wind turbine. The grid-side converter is controlled to supply extracted power from wind energy to the grid and to the loads as well as to compensate the harmonics, the reactive power and unbalances, so that the supply currents will be sinusoidal, balanced, and in phase with the supply voltages. A nonlinear control technique is proposed for the inverter. The effectiveness of the proposed variable speed wind energy conversion system is proved by simulation.
Thanks to development of information technology, the so-called virtual software environments offer wide possibilities for the estimation of time-space dynamical characteristics of energy systems, including modeling, c...
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ISBN:
(纸本)9781467320658
Thanks to development of information technology, the so-called virtual software environments offer wide possibilities for the estimation of time-space dynamical characteristics of energy systems, including modeling, control and design of distributed parameter systems. Based on these advances, we present a novel approach to control energy systems as lumped-input and distributed-parameter-output systems. An adaptive-predictive controller is deployed to control temperature fields to ensure optimal conditions for the desulphurization process in a coal-burning fluidized bed furnace, demonstrating the potential of the proposed methodology.
The main idea of this project is to simulate the thermal construction responses in dependence on changing boundary conditions. In order to predict environmental temperature precisely a model of one room has been devel...
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Mathematical models are constructed and used as a methodology of various functioning systems structure investigation and performance analysis. The main goal of mathematical model usage is to perform wholesome diagnost...
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