Results 1 to 10 of about 61,969 (142)

Event-Triggered Adaptive Control for Tank Gun Control Systems [PDF]

IEEE Access, 2019
In this paper, an event-triggered adaptive control scheme is proposed for the gun control system of a tank subject to not only external disturbances but also uncertain modeling errors and unknown parameters.
JianPing Cai, Rui Yu, Qiuzhen Yan, Congli Mei, Binrui Wang, Lujuan Shen   +5 more
doaj   +2 more sources

Barrier Adaptive Iterative Learning Control for Tank Gun Control Systems Under Nonzero Initial Error Condition [PDF]

IEEE Access, 2022
In this paper, a barrier adaptive iterative learning control scheme is proposed to solve the trajectory-tracking problem for tank gun control systems under nonzero initial error condition.
Zhimin Zhou, Wei Wang, Yuntao Zhang, Qiuzhen Yan, Jianping Cai   +4 more
doaj   +2 more sources

Robust Learning Control for Tank Gun Control Servo Systems Under Alignment Condition [PDF]

IEEE Access, 2019
This paper proposes an adaptive learning control scheme to solve high-precision velocity tracking problem for tank gun control servo systems. Lyapunov approach is used to design the learning controller, with alignment condition used to cope with initial ...
Guangming Zhu, Xiushan Wu, Qiuzhen Yan, Jianping Cai   +3 more
doaj   +2 more sources

Fuzzy System-Based Position Tracking Iterative Learning Control for Tank Gun Control Systems With Error Constraints

IEEE Access, 2022
In order to get accurate position tracking and effective system constraint together for tank gun control systems, a fuzzy system-based barrier adaptive iterative learning control scheme is proposed.
Zheng Hong, Qiuzhen Yan, Xiushan Wu, Jianping Cai   +3 more
doaj   +2 more sources

Adaptive Iterative Learning Control for Tank Gun Servo Systems With Input Deadzone [PDF]

IEEE Access, 2020
In this paper, an adaptive iterative learning control scheme is proposed to solve the trajectory-tracking problem for tank gun servo systems with input deadzone and arbitrary initial states.
Yuntao Zhang, Qiuzhen Yan, Jianping Cai, Xiushan Wu   +3 more
doaj   +2 more sources

The Tracking Problem in Tank Gun Control Systems With Periodic Reference Signals [PDF]

IEEE Access, 2020
In this paper, the position tracking control for tank gun control systems with periodic reference signal is studied. On the basis of corresponding system modeling, a novel repetitive controller is developed by using Lyapunov synthesis.
Jinghua Tian, Qiuzhen Yan, Jian-Ping Cai, Xiaohui Guan   +3 more
doaj   +2 more sources

Neural Network-Based Error-Tracking Iterative Learning Control for Tank Gun Control Systems With Arbitrary Initial States [PDF]

IEEE Access, 2020
In this paper, a novel neural network-based error-track iterative learning control scheme is proposed to tackle trajectory tracking problem for tank gun control systems.
Qiyao Yang, Qiuzhen Yan, Jianping Cai, Jinghua Tian, Xiaohui Guan   +4 more
doaj   +2 more sources

A Barrier Neuroadaptive Dynamic Surface Control Approach for Tank Gun Control Systems With Input Saturation

IEEE Access, 2023
In harsh battlefield environments, tanks have to encounter some nonlinear characteristics including frictional moment, gear backlash and parameter drifts, etc.
Guangming Zhu, Xiushan Wu, Jianping Cai, Qiuzhen Yan, Shenyong Gao   +4 more
doaj   +2 more sources

Adaptive Robust Stability Control of All-Electrical Tank Gun Compensated by Radial Basis Neural Network

IEEE Access, 2023
Stability control of the tank gun has emerged as a pivotal issue for moving tank gun control systems (TGCS). As a complex electromechanical integrated system, TGCS of moving tank inevitably possesses significant parametric uncertainties and uncertain ...
Yimin Wang, Shusen Yuan, Quanzhao Sun, Xiuye Wang, Guolai Yang   +4 more
doaj   +1 more source

Adaptive robust control for triple avoidance - striking - arrival performance of uncertain tank mechanical systems

Defence Technology, 2022
This paper puts forward an unprecedented avoidance-striking-arrival problem aiming to address the need for tank's uncertain mechanical systems on the intelligent battlefield.
Zong-fan Wang, Guo-lai Yang, Xiu-ye Wang, Qin-qin Sun, Yu-ze Ma   +4 more
doaj   +1 more source