The increased traffic flow on both existing highways and city roads leads to the appearance of stop-and-go waves which have many disadvantages, e.g., increased risk of accidents, higher fuel consumption, increased pol...
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The increased traffic flow on both existing highways and city roads leads to the appearance of stop-and-go waves which have many disadvantages, e.g., increased risk of accidents, higher fuel consumption, increased pollution, increased wear of vehicle mechanical parts, driving stress and passenger discomfort. The platooning of vehicles could be the solution to this problem by enforcing them to follow each other and to maintain a safe distance between them. The advantages brought by this solution depend on ensuring the string stability of the vehicle platoon. In this paper the leader-follower system is employed to illustrate the stop-and-go waves mitigation. Several controllers (P, PI) were designed based on the conditions that have to be met in order to ensure the string stability of the vehicle platoon and comparisons were made with a controller based on the driver behavior.
To engineer the factory of the future the paper argues for a reference model that is not necessary restricted to the control component, but integrates the physical and human components as well. This is due to the real...
To engineer the factory of the future the paper argues for a reference model that is not necessary restricted to the control component, but integrates the physical and human components as well. This is due to the real need to accommodate the latest achievements in factory automation where the human is not merely playing a simple and clear role inside the control-loop, but is becoming a composite factor in a highly automated system (“man in the mesh”). The concept is demonstrated by instantiating the anthropocentric cyber-physical reference architecture for smart factories (ACPA4SF) in a concrete case study that needs to accommodate the ongoing researches from the SmartFactory KL facility (e.g. augmented reality, mobile interaction technology, virtual training of human operators).
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conver...
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion approach results in LPV state-space representations in the observable canonical form. Based on the relative degree concept of NL systems, the states of a given NL representation are transformed to new coordinates that provide its normal form. In the SISO case, all nonlinearities of the original system are embedded in one NL function which is factorized to construct the LPV form. An algorithms is proposed for this purpose. The resulting transformation yields an LPV model where the scheduling parameter depends on the derivatives of the inputs and outputs of the system. In addition, if the states of the NL model can be measured or estimated, then the procedure can be modified to provide LPV models scheduled by these states. Examples are included for illustration.
It is a truth universally acknowledged that 'a picture is worth a thousand words'. The emerge of digital media has taken this saying to a complete new level. By using steganography, one can hide not only 1000,...
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This work presents an image vectorization application aimed to exploit features found in most of today's modern architectures. Design decisions supported by performance results are presented along with use cases f...
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In this paper is presented a Hammerstein systems identification algorithm. The algorithm uses Particle Swarm Optimization firstly to approximate the nonlinear component, also using sigmoid type functions, and, secondl...
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In this paper is presented a Hammerstein systems identification algorithm. The algorithm uses Particle Swarm Optimization firstly to approximate the nonlinear component, also using sigmoid type functions, and, secondly, to estimate the linear component's parameters and the nonlinear functions connection coefficients, by solving a standard least squares problem. Due to the nature of Hammerstein systems, Particle Swarm Optimization was adapted with respect to specific constraints, which are detailed in this article. Numerical results confirm the accuracy of this proposed identification method.
Analysis of various adaptive feedforward vibration compensation schemes has shown that a strictly positive real (SPR) condition has to be satisfied in order to guarantee the stability of the whole system (Jacobson, Jo...
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Road traffic is considered as a complex system organized in a decentralized structure composed of three levels. At the highest level of complexity we have a traffic region, considered as a part of a city's road in...
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This paper presents a novel adaptive spiral dynamic algorithm for global optimization. Through a spiral model, spiral dynamic algorithm has a balanced exploration and exploitation strategy. Defining suitable value for...
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