Add to ORKGIn any control strategy, tuning of control parameters has long been considered as a time consuming and tedious job. Nevertheless, it is an indispensible step to achieve satisfactory closed-loop performance of the plant.Master of Engineerin
This paper presents an online tuning strategy for model predictive control. Specifically, the tuning...
Most industrial systems have objectives to meet (e.g. economic performance, production quality), are...
A new automatic tuning method for cascade control systems is presented. The technique consists in es...
Key Words-Predictive control; generalized predictive control; single-input/single-output systems; pe...
Thanks to cheap computing power, self-tuning control has matured rapidly from an academic topic to a...
Model predictive control (MPC) is a successful technique which enables to deliver the desired goals...
Research and development of motion control in the field of autonomous driving is significantly incre...
This paper proposes a practical tuning of closed loops with model based predictive control. The data...
Various systems and instrumentation use auto tuning techniques in their operations. For example, aud...
Over the past decade, Model Predictive Control (MPC) has established itself as an industrially impor...
The paper addresses some key problems that arise in applications of adaptive control to industrial p...
Bibliography: leaves 329-348xxi, 348 leaves : ill ; 30 cm.Thesis (Ph.D.)--University of Adelaide, De...
This paper presents an intuitive on-line tuning strategy for linear model predictive control (MPC) a...
The traditional control of high speed motion control system usually employs feedforward control to p...
This paper presents an automatic model based predictive control tuning and operation of a hydrostati...
This paper presents an online tuning strategy for model predictive control. Specifically, the tuning...
Most industrial systems have objectives to meet (e.g. economic performance, production quality), are...
A new automatic tuning method for cascade control systems is presented. The technique consists in es...
Key Words-Predictive control; generalized predictive control; single-input/single-output systems; pe...
Thanks to cheap computing power, self-tuning control has matured rapidly from an academic topic to a...
Model predictive control (MPC) is a successful technique which enables to deliver the desired goals...
Research and development of motion control in the field of autonomous driving is significantly incre...
This paper proposes a practical tuning of closed loops with model based predictive control. The data...
Various systems and instrumentation use auto tuning techniques in their operations. For example, aud...
Over the past decade, Model Predictive Control (MPC) has established itself as an industrially impor...
The paper addresses some key problems that arise in applications of adaptive control to industrial p...
Bibliography: leaves 329-348xxi, 348 leaves : ill ; 30 cm.Thesis (Ph.D.)--University of Adelaide, De...
This paper presents an intuitive on-line tuning strategy for linear model predictive control (MPC) a...
The traditional control of high speed motion control system usually employs feedforward control to p...
This paper presents an automatic model based predictive control tuning and operation of a hydrostati...
This paper presents an online tuning strategy for model predictive control. Specifically, the tuning...
Most industrial systems have objectives to meet (e.g. economic performance, production quality), are...
A new automatic tuning method for cascade control systems is presented. The technique consists in es...