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Intersection control plays very important roles in the urban traffic. However, most intersection control using stationary signal-timing plan. It is very hard to get the optimal signal-timing plan based on the real traffic condition. In this paper, a novel agent-based intersection control method for urban traffic is proposed. All the urban traffic entities are abstracted to agent models. The real traffic...
The performance of PID controller depends on the combination of the control parameters. A kind of improved chaotic algorithm was put forward to optimize the PID controller parameters. In order to solve the shortcoming of low convergence rate of chaos optimization algorithm, the step acceleration method was introduced. And the improved chaotic algorithm combined the merits of both methods. Simulation...
Kernel-based clustering is one of the most popular methods for partitioning nonlinearly separable dataset. However, exhaustive search for the global optimum is NP-hard. Iterative procedure such as k-means can be used to seek one of the local minima. Unfortunately, it is easily trapped into degenerate local minima when the prototypes of clusters are ill-initialized. In this paper, we restate the optimization...
DC-DC boost converter in PWM switch mode is attractive for high power white LED constant current driver. The occurrence of uncertainty and coil magnetic saturation in DC-DC power converters makes their analysis and control difficult. A fuzzy logic controller (FLC) is then utilized to ensure current regulation over a wide range of parameters, which is perceived as an optimization problem. A robust...
To effectively avoid congestion and take full advantage of bandwidth inside a network, routing optimization is needed for path selection over a set of equal-cost-multi-paths. In this paper, a Link-Criticality-based ECMP routing optimization algorithm is proposed. As the traffic in the network overlaps on some links, LCER selects the path with least link average utilization and hops for the ECMPs....
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