In this paper a simulation assignment, which was developed to teach both undergraduate and postgraduate students at the University of Pretoria some of the main issues regarding closed-loop system identification, is discussed. A motivation for closedloop system identification and a simulation assignment in this field is given. Then the simulation assignment is outlined, each step discussed, and ...

The presence of moral hazard in the banking sector can have worrying results. This paper examines the role of government guarantees to banks in generating moral hazard in Iran. We test for moral hazard among bank creditors by determining whether protected banks received more funds from creditors than non-protected banks. Empirically, to determine the existence of moral hazard among bank manag...

Additional Notation: We first introduce additional notation not used in the paper that is useful in some proofs. In particular, we define dω,π the distribution of states at time t if we executed π from time step 1 to t−1, starting from distribution ω at time 1, and dω,π = (1 − γ) ∑∞ t=1 γ dω,π the discounted distribution of states over the infinite horizon if we follow π, starting in ω at time 1.

This paper examines the use of general orthonormal bases for system identification from frequency domain data. This idea has been studied in great depth for the particular case of the orthonormal trigonometric basis. Here we show that the accuracy of the estimate can be significantly improved by rejecting the trigonometric basis in favour of a more general orthogonal basis that is able to be ad...

A methodology for modelling and designing H∞ controllers for an experimental pilot-scale flotation column plant is described. Experimental results, including the modelling procedure and an H∞ design, are presented. For this purpose, different models, for different operating conditions, are determined, by means of system identification techniques. A strategy to get the uncertainty model, using a...

This research proposes A THEORETICAL FRAMEWORK based on model predictive control (MPC) for irrigation control to minimize both root zone soil moisture deficit (RZSMD) and irrigation amount under a limited water supply. We (i) investigate means to incorporate direct measurements to MPC (ii) introduce two Robust MPC techniques e Certainty Equivalence control (CE) and Disturbance Affine Feedback C...