In a class of diffusion Markov processes, we formulate problem identification nonlinear stochastic dynamic systems with random parameters, multiplicative and additive noises, control functions, the state vector at final time moment. For such systems, identifiability conditions are being studied, necessary formulated in terms general theory extreme problems. The developed engineering methods for...

optimizing the herbicide dose by the addition of adjuvants is an acceptable way to increase performance and to reduce the risk of side effects from herbicides. therefore, to detect a suitable adjuvant for clodinafop-propargyl against little seed canary grass (phalaris minor retz.). greenhouse experiment were conducted as factorial in completely randomized design with four replications for compa...

Thybo has supervised the work. I would especially like to express my gratitude to my good friend, dive mate, college and supervisor Claus Thybo, for his invaluable help, support and inspiration. His guidance and support has truly been ideal. Without his presence this project would not have been at all and it wouldn't have been so enjoyable. I would like to thank Jakob Stoustrup for sharing of h...

This work deals with membrane separation processes, their modelling and optimal control. A self-optimizing control is introduced, a method proposed by Johannes Jäschke (NTNU, Norway) to control heat exchanger network by controlling "Jäschke temperatures". This type of self-optimizing control is applied to control membrane processes, specifically membrane contactor network. This network consists...

We address the problem of optimizing operation of a process where there are extra degrees of freedom, and where the optimum is not at some constraint. In practice, there are always unknown disturbances and model uncertainties which make this task complicated. The key idea of this paper is to turn the non-linear optimization control problem into a setpoint control problem. If this can be done, t...