We develop an anomaly detection method when systematic anomalies, possibly statistically very similar to genuine inputs, are affecting control systems at the input and/or output stages. The allows free inputs (i.e., those before contamination) originate from a wide class of random sequences, thus opening up possibilities for diverse applications. To illustrate how works on data, and interpret i...

Robust state estimation problem is investigated for discrete-time linear space models with uncertain parameters, deterministic control input and d-step delay. Firstly, the original system transformed into a non-time-delay based on method of augmentation. Then robust algorithm proposed sensitivity penalty derivation given. Moreover, compared standard Kalman filter, this has similar iterative for...

A popular technique used to obtain linear representations of nonlinear systems is the so-called Koopman approach, where dynamics are lifted a (possibly infinite dimensional) space through functions called observables. In space, and represented by operator. While theory was originally introduced for autonomous systems, it has been widely derive time-invariant (LTI) models with inputs various app...

Project Summary: Recent research on exemplary organic farms in the northeastern U.S.A. identified a vegetable and a grain farm with particularly successful systems. These farms achieve consistently high yields and have low weed, insect and pathogen problems, despite minimal off-farm inputs. The strategy of the proposed project is to demonstrate that these farming systems can be duplicated and c...

production subsidies, as a part of the strategy of economic growth of the agricultural sector, are of great importance around the world. subsidizing production inputs, particularly energy input, is another way of directing subsidy to the agricultural sector. in this research, production function of the agricultural sector was estimated using econometric methods and time series data. after calcu...