Search Results - "Ding, Chengjun"

Enhanced accuracy and adaptability: An ISSA-optimized MPC approach for AGV trajectory tracking.

Authors: Zhang, Tan Ding, Chengjun Ma, Tengfei et al.

Source: PLoS ONE. 5/21/2026, Vol. 21 Issue 5, p1-23. 23p.

Limit Theorems for Continuous State Nonhomogeneous Markov Chain.

Authors: Ding, Chengjun Yang, Weiguo Tang, Niansheng

Source: Journal of Systems Science & Complexity. Dec2025, Vol. 38 Issue 6, p2454-2479. 26p.

A class of small deviation theorems for Markov chains in bi-infinite random environment.

Authors: Ding, Chengjun Liu, Cong Zang, Qingpei et al.

Source: Communications in Statistics: Theory & Methods. 2023, Vol. 52 Issue 3, p693-701. 9p.

A CLASS OF SMALL DEVIATION THEOREMS FOR FUNCTIONALS OF RANDOM FIELDS ON A TREE WITH UNIFORMLY BOUNDED DEGREE IN RANDOM ENVIRONMENT.

Authors: Shi, Zhiyan Ding, Chengjun

Source: Probability in the Engineering & Informational Sciences. Jan2022, Vol. 36 Issue 1, p169-183. 15p.

The strong law of large numbers and Shannon-McMillan theorem for Markov chains indexed by an infinite tree with uniformly bounded degree in random environment.

Authors: Ding, Chengjun Shi, Zhiyan Yang, Weiguo

Source: Communications in Statistics: Theory & Methods. 2021, Vol. 50 Issue 15, p3573-3585. 13p.

Existence of solutions for fractional p&q-Laplacian system involving critical sandwich-type nonlinearities.

Authors: Ding, Chengjun Yang, Yang

Source: Applicable Analysis; Jan2023, Vol. 102 Issue 2, p485-493, 9p

Implementation of a robust data-driven control approach for an ommi-directional mobile manipulator based on koopman operator.

Authors: Zhu, Xuehong Ding, Chengjun Ren, Chao et al.

Source: Measurement & Control (0020-2940). Nov/Dec2022, Vol. 55 Issue 9/10, p1143-1154. 12p.

Koopman operator based model predictive control for trajectory tracking of an omnidirectional mobile manipulator.

Authors: Zhu, Xuehong Ding, Chengjun Jia, Lizhen et al.

Source: Measurement & Control (0020-2940). Nov/Dec2022, Vol. 55 Issue 9/10, p1067-1077. 11p.

A centipede-inspired robot with passive terrain adaptation: optimized design and performance analysis.

Authors: Zhang, Tan Ding, Chengjun Wang, Dong et al.

Source: Nature communications 5/14/2025; Vol. 16 (1).

Journal Info: Publisher: Springer Nature ISSN: 2041-1723