DeepAI AI Chat
Log In Sign Up

Optimal Stochastic Evasive Maneuvers Using the Schrodinger's Equation

by   Farhad Farokhi, et al.

In this paper, preys with stochastic evasion policies are considered. The stochasticity adds unpredictable changes to the prey's path for avoiding predator's attacks. The prey's cost function is composed of two terms balancing the unpredictability factor (by using stochasticity to make the task of forecasting its future positions by the predator difficult) and energy consumption (the least amount of energy required for performing a maneuver). The optimal probability density functions of the actions of the prey for trading-off unpredictability and energy consumption is shown to be characterized by the stationary Schrodinger's equation.


Future Energy Consumption Prediction Based on Grey Forecast Model

We use grey forecast model to predict the future energy consumption of f...

Cooperative Energy Management of HVAC via Transactive Energy

Heating, Ventilation, and Air Conditioning (HVAC) energy consumption acc...

Factors determining maximum energy consumption of Bitcoin miners

Background: During the last years, there has been a lot of discussion an...

PHASED: Phase-Aware Submodularity-Based Energy Disaggregation

Energy disaggregation is the task of discerning the energy consumption o...

Using competency questions to select optimal clustering structures for residential energy consumption patterns

During cluster analysis domain experts and visual analysis are frequentl...

Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption

At present, the energy structure of China is shifting towards cleaner an...

Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons

Magnetoresistive random access memory (MRAM) technologies with thermally...