Gain-maximizing control in redox processes.

Fuzzy Gain-Scheduling Control of Nonlinear Processes

Fuzzy gain-scheduling is a special form of model-based fuzzy control that uses linguistic rules and fuzzy reasoning to determine the controller parameter transition policy for a dynamic plant subject to large changes in its operating state. Issues of stability and overall dynamic behavior are resolved using conventional modern control techniques. The design of a fuzzy gain-scheduling controller...

Multiple gain control processes in contrast–contrast phenomena

Spatial interactions among orientation-tuned gain control processes are presumed to mediate center-surround contrast-contrast phenomena. In this paper, we assess contributions of gain control processes that pool over orientation. We measured the apparent contrast of a luminance-modulated center disk embedded in various modulated surrounds. In all conditions, observers compared the apparent cont...

Maximizing Entropy over Markov Processes

The channel capacity of a deterministic system with confidential data is an upper bound on the amount of bits of data an attacker can learn from the system. We encode all possible attacks to a system using a probabilistic specification, an Interval Markov Chain. Then the channel capacity computation reduces to finding a model of a specification with highest entropy. Entropy maximization for pro...

Robust Control Design of Gain-scheduled Controllers for Nonlinear Processes

Maximizing gain in high-throughput screening using conformal prediction

Iterative screening has emerged as a promising approach to increase the efficiency of screening campaigns compared to traditional high throughput approaches. By learning from a subset of the compound library, inferences on what compounds to screen next can be made by predictive models, resulting in more efficient screening. One way to evaluate screening is to consider the cost of screening comp...