In this paper, a generalized control framework is proposed to incorporate the various assistive control methods in one general controller structure, which consists of Feedforward Disturbance Compensation Control, Reference Tracking Feedback Control, Reference Tracking Feedforward Control, Model-based Torque Control.
The model predictive control (MPC) strategy was chosen to control the bleaching process taking into account its constraints, which were handled by incorporating a state of the art optimization method, i.e., an interior point method, in the controller.
The experimental results suggest that the proposed method outperforms opponent methods in terms of controller effort, measures associated with transient response and criteria related to steady-state.
Each vehicle features a built-in controller, which wirelessly communicates with a central ride-system controller.
A method is presented to impose localization in controller design for distributed arrays with underlying spatial invariance.
Simulation tests are designed to indicate the effects of regenerative braking on battery aging and the control effectiveness of the proposed method, and controller-in-the-loop tests are carried out to verify the real-time calculation performance.
CONE is comparatively evaluated with two related controller design methods in a collective construction task.
In the paper there are presented some controller design methods in delta domain based on the delta model of the plant aiming to compare them with similar methods specific to continuous and discrete time design.
Inspired by the controller design methods in Qian and Lin (2012), a finite-time stabilizer and a new Lyapunov function are recursively constructed in a bottom-to-up manner.
In the proposed method, a controller is designed in terms of the optimal linear model representation of the nominal system around each operating point of the trajectory, while the uncertainties are decomposed such that the uncertain nonlinear system can be rewritten as a set of local linear models with disturbed inputs.
