Abstract In this paper, the relative position parameters of the target spacecraft are obtained by using the vision measurement and the target maneuver positions are calculated through the isochronous interpolation met...
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Abstract In this paper, the relative position parameters of the target spacecraft are obtained by using the vision measurement and the target maneuver positions are calculated through the isochronous interpolation method. Furthermore, new switch control laws under constant thrust are designed for active collision avoidance maneuver of the chaser along a specified trajectory. The switch control laws are obtained based on the acceleration sequences and the working times of thrusters in three axes which can be respectively computed by the time series analysis method. The perturbations and fuel consumptions are addressed during the computation of the working times. The simulation results show that the constant thrust maneuver can effectively guarantee the chaser maneuvering along the specified trajectory.
Abstract In this paper, a risk-sensitive filter for a class of jump Markov nonlinear systems is proposed. By using a set of weighted cubature points to approximate the intractable risk-sensitive recursions, the propos...
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Abstract In this paper, a risk-sensitive filter for a class of jump Markov nonlinear systems is proposed. By using a set of weighted cubature points to approximate the intractable risk-sensitive recursions, the proposed filter could exhibit improved numerical stability with respect to the derivation of the square-root covariance, for which the unscented transform technique might halt the operations due to the presence of non-positive definite covariance. The performance of the proposed filter is illustrated through a simulation study of tracking a land vehicle with maneuvers.
By continuing to use fossil fuels we are bound to pollute the atmosphere, and consequently, unwanted greenhouse and climate change effects will come to dominate every part of the earth. Wind power energy represents an...
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In this paper we present novel algorithmic solutions for several resource processing and data transfer multicriteria optimization problems. The results of most of the presented techniques are strategies which solve th...
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This paper presents a new approach to multi-agent coverage path planning problem. This algorithm enables multiple robots with limited sensor capabilities to perform coverage efficiently over a shared territory. Each r...
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ISBN:
(纸本)9814291269
This paper presents a new approach to multi-agent coverage path planning problem. This algorithm enables multiple robots with limited sensor capabilities to perform coverage efficiently over a shared territory. Each robot is assigned with an exclusive route, which enables it to carry out its cleaning process simultaneously with minimal path overlapping. The objectives of this work are (i) Identify a path for each robot such that each robot is responsible for covering a different region. In this way, there will be minimal overlap between coverage of the robots, (ii) the methods and procedures must be applicable to a group of simple mobile robots with very few sensors to guarantee their industrial interest.
In this paper, the European Higher Education Area (EHEA) adapted technological model is presented, developed in order to provide the e-learning solution for the new grades of the Spanish University for Distance Educat...
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Fuel Cell Hybrid Electric Vehicles (FCHEV) are being investigated in many research and development programs motivated by the urgent need for more fuel-efficient vehicles that produce fewer harmful emissions. Hybridiza...
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This paper presents a novel implementation of a constrained predictive control (MPC) algorithm. The MPC algorithm is based on Laguerre predictions and multi-parametric solutions guaranteeing larger feasibility sets, l...
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ISBN:
(纸本)9781627481199
This paper presents a novel implementation of a constrained predictive control (MPC) algorithm. The MPC algorithm is based on Laguerre predictions and multi-parametric solutions guaranteeing larger feasibility sets, low computational burden and memory storage. Specifically the paper discusses programming of MPC in an industrial Programable Logic controller (PLC) software. A laboratory experiment test was carried out to demonstrate the code on real hardware. The result of this work serve as an encouragement to further investigate the potential for developing efficient algorithms within off the shelf industrial standard hardware.
In the paper is presented the brief history of research conducted in Poland (at AGH University) in the area of image processing, analysis and recognition. The history is connected with changes of the technology used f...
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This paper proposes a robust model predictive control scheme for nonlinear systems with state and input constraints and unknown but bounded disturbances. A standard nominal model predictive control problem with tighte...
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