Control of non liner systems is difficult in the absence of a systematic procedure as available for linear systems. Mathematical model that we use for nonlinear system control needs very expensive and sophisticated instrument. Intelligent system which is suppose to posses humanlike expertise within a specific domain, adopts itself and learn to do better in any condition. Soft computing an approach for constructing computationally intelligent system consist of several computing techniques, including neural network, fuzzy set theory and derivate free optimization method such as genetic algorithms and simulated annealing. As it incorporate human knowledge effectively, to deal with imprecision and uncertainty, and to learn to adopt itself to unknown or changing environment for better performance.
Manikanth, Kengua and Tiwary, Ashish
"INTELLIGENT CONTROLLER: AN ALTERNATIVE APPROACH FOR NONLINEAR SYSTEM CONTROL,"
International Journal of Smart Sensor and Adhoc Network: Vol. 3:
1, Article 14.
Available at: https://www.interscience.in/ijssan/vol3/iss1/14