Adaptive type-2 fuzzy neural network inherited terminal sliding mode control for power quality improvement
S Hou, Y Chu, J Fei - IEEE transactions on industrial informatics, 2021 - ieeexplore.ieee.org
This article proposes an adaptive type-2 fuzzy neural network control system to enhance the
performance of power quality improvement. First, the dynamic model of APF with lumped …
performance of power quality improvement. First, the dynamic model of APF with lumped …
Implementation and study of a novel approach to control adaptive cooperative robot using fuzzy rules
G Enthrakandi Narasimhan, J Bettyjane - International Journal of …, 2021 - Springer
The function of an Independent Robot has demanding conflicts and a perfect balance is
required to minimize the conflicts along with a degree of capability. This paper talks about …
required to minimize the conflicts along with a degree of capability. This paper talks about …
Dynamic frontier-led swarming: Multi-robot repeated coverage in dynamic environments
A common assumption of coverage path planning research is a static environment. Such
environments require only a single visit to each area to achieve coverage. However, some …
environments require only a single visit to each area to achieve coverage. However, some …
ELM-based adaptive faster fixed-time control of robotic manipulator systems
M Gao, L Ding, X Jin - IEEE Transactions on Neural Networks …, 2021 - ieeexplore.ieee.org
This article addresses the problem of fast fixed-time tracking control for robotic manipulator
systems subject to model uncertainties and disturbances. First, on the basis of a newly …
systems subject to model uncertainties and disturbances. First, on the basis of a newly …
A robust self-adaptive interval type-2 TS fuzzy logic for controlling multi-input–multi-output nonlinear uncertain dynamical systems
Recently, Type-2 fuzzy systems have become increasingly prominent as they have been
applied to various nonlinear control applications. This article presents an adaptive fuzzy …
applied to various nonlinear control applications. This article presents an adaptive fuzzy …
A novel iterative second-order neural-network learning control approach for robotic manipulators
Iterative Learning Control (ILC) is known as a high-accuracy control strategy for repetitive
control missions of mechatronic systems. However, applying such learning controllers for …
control missions of mechatronic systems. However, applying such learning controllers for …
Wavelet interval type-2 Takagi-Kang-Sugeno hybrid controller for time-series prediction and chaotic synchronization
This paper presents a new hybrid neural network controller for time series prediction and
chaotic synchronization. The proposed controller is called as a wavelet interval type-2 …
chaotic synchronization. The proposed controller is called as a wavelet interval type-2 …
On robot compliance: A cerebellar control approach
The work presented here is a novel biological approach for the compliant control of a robotic
arm in real time (RT). We integrate a spiking cerebellar network at the core of a feedback …
arm in real time (RT). We integrate a spiking cerebellar network at the core of a feedback …
A precise neural-disturbance learning controller of constrained robotic manipulators
An adaptive robust controller is introduced for high-precision tracking control problems of
robotic manipulators with output constraints. A nonlinear function is employed to transform …
robotic manipulators with output constraints. A nonlinear function is employed to transform …
Non-fragile sliding mode observer based fault estimation for interval type-2 fuzzy singular fractional order systems
X Zhang, JX Zhang, W Huang, P Shi - International Journal of …, 2023 - Taylor & Francis
In this paper, an interval type-2 fuzzy model is presented to describe the nonlinear singular
fractional order systems (SFOSs) with 0< α< 2. The problem of actuator and sensor fault …
fractional order systems (SFOSs) with 0< α< 2. The problem of actuator and sensor fault …