SUBOPTIMAL CONTROL OVER LINEAR NON-STATIONARY PLANT WITH DELAY

The article focuses on the fact that the problem of suboptimal control over parametrically and functionally undefined linear non-stationary plant has been solved. It is supposed that only scalar input and output of plant are determinable. The purpose of control consists in subminimization of the integral with an infinite top limit from square-law sub-integral function dependent on a scalar input of the plant and a control signal. The algorithm received is simple and does not require difficult analytical accounts of parameters of a control system. The serviceability of the received algorithms is illustrated on numerical examples.

Exploring strategies for classification of external stimuli using statistical features of the plant electrical response

Plants sense their environment by producing electrical signals which in essence represent changes in underlying physiological processes. These electrical signals, when monitored, show both stochastic and deterministic dynamics. In this paper, we compute 11 statistical features from the raw non-stationary plant electrical signal time series to classify the stimulus applied (causing the electrical signal). By using different discriminant analysis-based classification techniques, we successfully establish that there is enough information in the raw electrical signal to classify the stimuli. In the process, we also propose two standard features which consistently give good classification results for three types of stimuli—sodium chloride (NaCl), sulfuric acid (H 2 SO 4 ) and ozone (O 3 ). This may facilitate reduction in the complexity involved in computing all the features for online classification of similar external stimuli in future.