Your English writing platform
Discover LudwigSimilar(60)
In this paper, based on the physically-based control design approach, an adaptive output-feedback power-level control is proposed for MHTGRs.
Motivated by this and based upon the backstepping technique and physically-based control design approach, a novel nonlinear power-level control is proposed by regarding the MHTGR and stepper motor as an entire dynamical system.
A model-based control design approach, incorporating identification of the system model based on genetic algorithm is carried out to design the controller.
A model-based control design approach is presented using simple feedback control laws, i.e. proportional controllers.
This contribution provides a model-based control design approach for shape memory alloy (SMA) actuators with position feedback.
The proposed approach consists of the identification of linear or non linear process model and model based control design.
In this paper, by incorporating the dynamic surface control technique into a neural network based adaptive control design framework, we develop a backstepping based adaptive control design approach for uncertain non-affine pure-feedback nonlinear systems.
An iterative linear matrix inequality based H∞ control design approach is used to obtain the controller gains.
Through a novel set-valued map based recursive control design approach, the quantized control system is transformed into an interconnection of several input-to-state stable (ISS) subsystems.
This paper proposes a Takagi-Sugeno (T-S) model based fuzzy control design approach for nonlinear strain gradient micro-beams with the constraints on the control input.
These techniques are based on an optimal control design approach that takes into account the nonlinearities present in the vehicle dynamics.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com