Bingkun Zhu

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This paper investigates the issue of tuning the Proportional Integral and Derivative (PID) controller parameters for a greenhouse climate control system using an Evolutionary Algorithm (EA) based on multiple performance measures such as good static-dynamic performance specifications and the smooth process of control. A model of nonlinear thermodynamic laws(More)
Conventional methods used for solving greenhouse environment multi-objective conflict control problems lay excessive emphasis on control performance and have inadequate consideration for both energy consumption and special requirements for plant growth. The resulting solution will cause higher energy cost. However, during the long period of work and(More)
The adjustment of greenhouse environment has heavy influence on the plants growth, production yield, quality and energy consumption. Moreover, classical methods used for solving greenhouse environment multi-objective control problems may be more reasonable by adopting "region" control objectives instead of "point" control objectives. In this paper, we(More)
This paper describes an indoor cleaning robot coverage path to avoid obstacle based on behavior fuzzy controller under dynamic environment. The robot measures the distance between the robot and obstacle with ultrasonic sensors and infrared range sensors. The behavior architecture has three levels behaviors: emergency behavior, obstacle avoidance behavior,(More)
Conventional methods used for solving greenhouse environment multi-objective conflict control problems may be more reasonable by adopting interval or region control objectives instead of point control objectives. In this paper, we propose a novel compatible control algorithm, and employ Multi-Objective Compatible Control (MOCC) strategy and an extant(More)
The optimal solution of multi-objective control problem (MOCP) isn't unique, so it is hard for traditional method to obtain these optimal solutions in one simulation process. Based on this background, Multi-Objective Compatible Control (MOCC) algorithm was presented by Lihong Xu in [2]. MOCC is a compromise method, which hunts for suboptimal and feasible(More)
In the past decades, the main focus of optimization studies including multi-objective optimization was placed on finding the global optimum or Pareto-optimal solutions. However, in practical engineering, users may not always be interested in finding the so-called global best solutions, particularly when these Pareto-optimal solutions are quite sensitive to(More)
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