Aiming at the transit priority control problem under the existence of phase overlapping constraints at signalized intersection, this paper proposes a green time extension method based on non-linear programming. On the...
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The nonlinear programming (NLP) is an optimization technique that minimizes arbitrary nonlinear cost functions. To apply the NLP to real-time applications, however, the estimation of the gradient of the cost function ...
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The nonlinear programming (NLP) is an optimization technique that minimizes arbitrary nonlinear cost functions. To apply the NLP to real-time applications, however, the estimation of the gradient of the cost function is remained as a challenge. The extremum-seeking control (ESC) optimizes the cost functions in real-time, but it involves the complicated design of filters for simultaneous estimation of the gradient. In this paper, a complementary method that optimizes an arbitrary multivariable cost function in real-time is proposed. Taking the advantages of both NLP and ESC, the variables are updated by the steepest descent method of NLP, while the gradient of the cost function is continuously estimated by the amplitude modulation as in ESC. Unlike the ESC, the proposed method does not require the design of complicated filters. The optimization performance is verified by simulations on time-varying and noisy cost functions, as well as automatic controller tuning applications.
The motion of the floating device on the waves can be obtained by dividing the device into two subsystems: the vibrator and the float. In this paper, the displacement and velocity of the float and the oscillator under...
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Because intelligent mobile robot contains rich market value, and is widely used in various fields, so the modern society of mobile robot technology requirements are very high, and gradually become the main topic of re...
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The anti-skid valve is an executive component of the anti-skid protection system of rail vehicles, playing an important role in the vehicle braking system. Its dynamic air charging and exhaust performance is directly ...
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In accord with the practical engineering design conditions, a nonlinear programming model is constructed for maximizing the fatigue life of V-belt drive in which some polymorphic uncertainties are incorporated. For a ...
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In accord with the practical engineering design conditions, a nonlinear programming model is constructed for maximizing the fatigue life of V-belt drive in which some polymorphic uncertainties are incorporated. For a given satisfaction level and a confidence level, an equivalent formulation of this uncertain optimization model is obtained where only interval parameters are involved. Based on the concepts of maximal and minimal range inequalities for describing interval inequality, the interval parameter model is decomposed into two standard nonlinear programming problems, and an algorithm, called two-step based sampling algorithm, is developed to find an interval optimal solution for the original problem. Case study is employed to demonstrate the validity and practicability of the constructed model and the algorithm.
The aim of this study was to build a model-based design tool that allows multidisciplinary teams to design vehicle performance targets using an easily understandable common index during the conceptual design phase of ...
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This paper constructs a centralized noncooperative game model of power sales with grid's risk avoidance and its renewable energy power's investment and production strategy considering renewable energy power pr...
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Cycling road racing is a popular sport for people all over the world. Different types of cycling road races require different abilities from the riders. Flexible riding strategies also play an important role in these ...
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This paper studies the problem of launching time planning for ballistic missiles. A trajectory cross-detection algorithm and a launch time constraint set are constructed, respectively. Moreover, a launch time optimiza...
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