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Instead of designing a controller of new operation mode directly, a kind of H∞ controller referring to the original operation mode is developed, which is composed of controllers depending on the new operation modes and satisfies a minimum variance approximation.
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The H ∞ optimization problem of 2DOF control (5) could be transformed to design the K ( s ) = [ G FF ( s ), G FB ( s ) ] controller composed of feedforward controller G FF and feedback controller G FB which could minimize the H ∞ norm of transfer function from r to z w in following framework.
The proposed solution is composed of two controllers: (i) a nominal MPC controller with probing feature to plan a globally convergent trajectory in conjunction with active localization, and (ii) an ancillary MPC controller to stabilize the robot motion around the planned trajectory.
The control system based on optimal preview servo system is composed of feedback controller and feedforward controller.
This model is composed of distributed controllers handling the self-adaptivity of the system reconfigurable regions and a coordinator to respect the system global constraints.
The position/force switching control strategy was employed to regulate the motion position and grasping force, and the position/force switching controller composed of a PID controller for position control and a sliding model controller (SMC) for force control was designed.
It offers an extensive introduction on fundamental theories, from Boolean algebra and binary arithmetic to sequential networks and finite state machines, together with the essential tools to design and simulate systems composed of a controller and a datapath.
The system is composed of main control computer, hydraulic controller, three axial pressure sources, digital controller, manual controller, hydraulic actuator and hydraulic source.
Secondly, an adaptive RENN speed controller (ARENNSC) composed of an RENN controller and a compensated controller is developed to achieve the adaptive robust speed control of PMSM drive.
For the given uncertain stochastic system, new controllers which are composed of a linear controller and an adaptive controller are proposed to realize H∞ control by introducing a switching function and using the idea of completing square.
The XYZ stage controller is composed of a motor controller (g) for controlling the stepping motors (i) of the XYZ stage, and an ADC (f) for digitizing the signal of the SQUID output.
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