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The performance of the proposed method is investigated using different types of controllers, including both Proportional Integral control (PI) and quadratic control.
The controllers (u_{i1}(t)) and (bar{u}_{i2}(t)) are different types of controllers, i.e., (u_{i1}(t)) is the nonlinear control and (u_{i2}(t)) is the adaptive pinning control.
Performance of three different types of controllers in tracking the optimal reactor temperature profiles in batch reactor is considered hear.
Therefore, a set of different types of controllers should be designed depending on various speeds, environmental and sea conditions so that appropriate controllers are selected in correspondence to these conditions.
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MATLAB/SIMULINK is used to simulate the different types of controller techniques.
Different types of controller, namely proportional integral derivative (PID), hybrid fuzzy PID, self-tuning fuzzy PID and self-tuning fuzzy PID with bias are designed.
The grasper force is controlled through the actuator by different type of controllers and performance of the controllers are compared.
The proposed design significantly reduces the computational requirements and provides flexibility of designing different type of controllers for different dynamic parts of the system.
Different types of the controllers used in the distributed control and relative advantages and disadvantages of such systems were discussed.
Different types of nonlinear controllers are designed and compared for a simple continuous bioreactor operating near optimal productivity.
Energy-aware OpenNaaS can support different types of OpenFlow controller; it inherits and enhances network management capabilities, e.g. dynamically obtaining power and topology.
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