A simple but robust and effective method to improve collective pitch control of variable-speed wind turbines given information on future inflow is proposed. The present paper focuses on the design and prospects of a control concept using predictive disturbance compensation. This feed-forward control structure is based on calculation of a future effective wind speed, on static disturbance compen...

The identification and estimation of discrete-time models of BOD-DO (Biochemical Oxygen Demand-Dissolved Oxygen) in river systems is considered using a multivariable extension of the instrumental variable approximate maximum likelihood techniques of time series analysis. The dynamic water quality models relate water quality at specific points on the river and are used in a design study to evalu...

A new event-based feedforward control method for drug delivery system is presented. Compared with the traditional time-based feedback control, the proposed method shows great potential in dealing with measurement noise and unexpected disturbances. Instead of using time to drive the planner, we determine the reference trajectory with an intelligent event, which is directly derived from measureme...

This paper addresses the problem of asymptotic tracking control of a linear parabolic partial differential equation with indomain point actuation. As the considered model is a non-standard partial differential equation, we firstly developed a map that allows transforming this problem into a standard boundary control problem to which existing infinite-dimensional system control methods can be ap...

This paper considers feedforward control of a system which is described by transfer functions with marginally stable inverses. We present three different feedforward control strategies. Two of them relies on an ‘ideal’ design which is derived in the noise-free case, whereas the third is based on Wiener filtering theory. The control strategies are compared and evaluated for different signal mode...

Agricultural machines generate a complex noise field with significant low-frequency components. The demands for good sound comfort of the driver inside cabins of these machines are continuously growing. Since passive control techniques are not able to efficiently reduce the low-frequency noise in the cabin, active noise control techniques are being explored. A zone of quiet around the ears of t...

In this paper we aim at obtaining insight into how a multivariable feedback controller works, with special attention to serial processes. Serial processes are important in the process industry, and the structure of this process makes it simple to classify the different elements of the multivariable controller. In particular, we focus on the difference between the feedforward and feedback parts ...

Humans can perform an enormous number of actions like running, walking, pushing, and punching, them in multiple ways. Hence recognizing a human action from video is challenging task. In supervised learning environment, are first represented using robust features then classifier trained for classification. The selection does affect the performance recognition. This work focuses on comparison two...

We develop a systems theoretical treatment of a behavioural system that interacts with its environment in a closed loop situation such that its motor actions influence its sensor inputs. The simplest form of a feedback is a reflex. Reflexes occur always “too late”; i.e., only after a (unpleasant, painful, dangerous) reflex-eliciting sensor event has occurred. This defines an objective problem w...