This paper proposes the analysis and synthesis of the robust control of a variable-geometry suspension system which is able to enhance the stability of the vehicle. The aim of the system is to assist the driver in per...
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Advanced autonomous vehicle strings rely on inter-vehicle communication in order to decrease the necessary safety gap so that fuel consumption can be decreased and road capacity can be increased. In case of failures o...
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Advanced autonomous vehicle strings rely on inter-vehicle communication in order to decrease the necessary safety gap so that fuel consumption can be decreased and road capacity can be increased. In case of failures of some communication channels, the corresponding back-up control strategy must be switched on. Maximal spacing errors of such back-up modes are analyzed and compared. Robustness to platoon heterogeneity and communication delays are considered. The main conclusion we can draw is that, in the full communication mode, satisfactory spacing performance can be achieved by using simple output-feedback controllers designed without detailed knowledge on engine/brake characteristics, only utilizing the existing services available today in every commercial heavy trucks with automatic gearbox. Experimental verification of the designed controllers are presented.
The distinguishability and identifiability of biological network models are key properties influencing the reliability of structural and parametric identification of such models. Recently, several new results have bee...
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The distinguishability and identifiability of biological network models are key properties influencing the reliability of structural and parametric identification of such models. Recently, several new results have been published about dynamically equivalent and linearly conjugate reaction networks. In this paper, the notion and importance of dynamical equivalence and linear conjugacy of biochemical network models obeying the mass action law is shown. For this, new concepts in the form of core complexes and core reactions for linearly conjugate networks are introduced. Two examples illustrate the developed computation methods.
This issue marks the beginning of the IEEE Transactions on Neural Networks and Learning systems (TNNLS). By adding «Learning systems» to the title, we now state explicitly the scope of the TRANSACTIONS to in...
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The paper proposes the control design of a driver assistance system which integrates the brake, the steering, and a variable-geometry suspension system. In the control scheme a predefined road trajectory required by t...
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The paper proposes the control design of a driver assistance system which integrates the brake, the steering, and a variable-geometry suspension system. In the control scheme a predefined road trajectory required by the driver with a steering command is followed to carry out various maneuvers. During maneuvers the control system generates the brake moments, modifies the front steering angle and changes the camber angles of the rear wheels. The control system must guarantee various crucial vehicle performances such as trajectory tracking and road stability. An actuator selection method in the control design is developed. A cruise control system based on robust LPV (Linear Parameter Varying) methods is designed with the emphasis on predefined velocity and path considerations.
The paper proposes the modeling and control design of a variable-geometry suspension system. The goal of the modification of wheel camber is to track road trajectory and enhance the lateral stability of the vehicle. T...
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This paper introduces a new multi-mode Extended Kalman Filter (EKF) algorithm for attitude estimation of small UAVs during the whole flight (from take off to landing). At first, it examines the available INS/GPS measu...
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The paper proposes a control design method based on a variable-geometry suspension system applied in a driver assistance system. During maneuvers an autonomous control system modifies the camber angle of the front whe...
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ISBN:
(纸本)9781467325301
The paper proposes a control design method based on a variable-geometry suspension system applied in a driver assistance system. During maneuvers an autonomous control system modifies the camber angle of the front wheels by using the variable-geometry system in order to improve road stability. The control system guarantees various crucial performances which are related to the chassis roll angle and half-track change. Moreover, by changing the camber angle of the front wheels the yaw rate of the vehicle is modified, which can be used to reduce the tracking error from the reference yaw rate. Thus, with the reconfiguration of the camber angle, the variablegeometry system can also be used as a driver assistance system. The design of a reconfigurable suspension system is based on robust LPV methods, which meet the performance specifications and guarantee robustness against model uncertainties. The operation of the control system is illustrated through different vehicle maneuvers.
The paper presents the tuning and testing of an LQ optimal minimax tracking controller which is capable of attenuating low frequency deterministic, and all frequency stochastic disturbances. The controller - based on ...
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A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The id...
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ISBN:
(纸本)9780889868632
A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The identification of the structurally different discrete event system models describing a system in its normal and/or faulty modes was used for model-based isolation of the considered faulty modes. From the available process mining techniques that allow for the automatic construction of process models in Petri net form based on event logs, the genetic algorithm-based structure identification procedure has been found to be most capable of identifying the characteristic structural elements of the faulty models. The proposed procedures are illustrated on a simple example of an operated parking gate automaton with two faulty modes.
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