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Exact(32)
The robust-adaptive controller uses a linearizing control law coupled with an interval observer for the unmeasured states, and with a parameter estimator.
Its J-Series controller uses a joystick to control steering, gas and brake.
The controller uses a dual-mode paradigm (linear control law plus free control moves to reach an appropriate invariant region), and the key step is the design of a robust linear state feedback controller with integral action and the construction of an appropriate polyhedral invariant region in which this controller is guaranteed to satisfy the process constraints.
The local controller uses a classical P.I.D. and the central control implemented uses a Linear Quadratic Gaussian which is suited to the specific purposes of the control.
The maximum point tracking controller uses a linearised model of the air motor together with integral control action.
Its DTEC boost controller uses a standard Nintendo Game Boy Advance SP handheld games console as its display and input device.
Similar(28)
If error exceeds some given tolerances, then the controller uses an adaptive algorithm that modifies model and control parameters (Iserman et al. 1992).
The controller uses an on-line estimation of the image Jacobians.
The SFNN controller uses an SFNN with structure and parameter learning phases to online mimic an ideal controller, simultaneously.
This controller uses an adaptive backstepping approach for the longitudinal dynamics, and a conventional integral-LQR controller for the lateral-directional dynamics.
This paper presents the application of a nonlinear controller, using a predictive control strategy, to an interconnected tank system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com