supported by the National Natural Science Foundation of China (51479151,61403288)。
Most of the existing multivariable grey models are based on the 1-order derivative and 1-order accumulation, which makes the parameters unable to be adjusted according to the data characteristics of the actual problem...
supported by the National Natural Science Foundation of China (71871106);the Blue and Green Project in Jiangsu Province;the Six Talent Peaks Project in Jiangsu Province (2016-JY-011)
For the classical GM(1,1)model,the prediction accuracy is not high,and the optimization of the initial and background values is one-sided.In this paper,the Lagrange mean value theorem is used to construct the backgrou...
supported by the National Natural Science Foundation of China(61872204);the Natural Science Foundation of Heilongjiang Province of China(F2015025)。
This paper proposes a multivariable fixed-time leaderfollower formation control method for a group of nonholonomic mobile robots, which has the ability to estimate multiple uncertainties. Firstly, based on the state s...
This paper presents a multivariable generalized predictive controller with proportion and integration structure by modifying the quadratic criterion of the usual MGPC. The control performance has been improved greatl...