In the financial market, there are a large number of indicators used to describe the change of
stock price, which provides a good data basis for our stock price forecast. Different stocks …

Recently a systematic method was presented for the generation of whole families of “Fixed
Point Transformations” that can be used in nonlinear adaptive control of “Single Input-Single …

In order to solve the problem of premature and long search time of traditional genetic
algorithm, the paper proposes an improved genetic algorithm and builds a route planning …

In various fields of applications as robotics, life sciences, chemistry, typical nonlinear
systems are controlled for the description of which only imprecise and often partial system …

The neurons as living cells work as essentially nonlinear oscillators or spike generators. In
the case of a particular model the" ideal", the till acceptable ie" Healthy", and the impaired (" …

In this paper, a scheme for decentralized robust control for control affine nonlinear
interconnected systems using linear matrix inequalities (LMIs) is presented. Based on the …

In general a controlled system suffers from imprecise dynamic model which makes accurate
trajectory tracking very difficult. Although the dynamic model can be fine tuned eg, by using …

In this paper, a new prediction model for accurately recognizing and appropriately
evaluating the trends of domestic chemical products and for improving the forecasting …

In the design of adaptive controllers the “Robust Fixed Point Transformations (RFPT)“-based
approach is a recently developed, very simple alternative of “Lyapunov's 2nd Method”. The …

With the development of network technology and the continuous advancement of society,
the combination of various industries and the Internet has produced many large-scale …