Thota K. Radhakrishnan

Learn More
Nonlinearities present in the systems make their controller design a non-trivial task. The difficulty further increases in case of multi-input–multi-output (MIMO) systems with increased number of variables and interactions between them. In this paper, fuzzy based intelligent control schemes are designed for control of nonlinear single-input–single-output(More)
Most of the large and complex industrial processes are naturally Multi Input Multi Output systems. Compared with single-input single-output (SISO) counterparts, MIMO systems are more complex to control due to inherent nonlinearity and due to the existence of interactions among input and output variables. Control of nonlinear MIMO process is a challenging(More)
  • 1