This paper studies the controller design for hypersonic flight vehicle (HFV) considering the
actuator hysteresis and the angle of attack (AOA) constraint respectively. Firstly, the effect of …

This paper addresses the fixed-time adaptive model reference sliding mode control for an air-
to-ground missile associated with large speed ranges, mismatched disturbances and un …

The huge developments in computational capabilities facilitate the design and
implementation of adaptive and robust control. Furthermore, the great developments in …

In this article, a novel self-evolving data cloud-based proportional integral derivative
(PID)(SEDCPID) like controller is proposed for uncertain nonlinear systems. The proposed …

Deep learning is an emerging research direction in machine learning, which has a
promising application in the field of communications. In this paper, we focus on adaptive …

This paper presents an adaptive nonparametric evolving fuzzy controller for uncertain
nonlinear systems with dead zone. The unknown nonlinear-ities caused by the dead zone …

This paper presents a nonlinear sliding mode control (SMC) based autopilot system design
for precise missile operation, saturation function is introduced to avoid chattering problem …

This study explains about the MIMO plant statistics of fuzzy logic based control of a electro-
mechanical system. An intelligent control system is proposed here in this paper to observe …

This chapter presents an adaptive self-learning fuzzy autopilot design for uncertain bank-to-
turn missiles due to external disturbances and system errors from the variations of the …