Adaptive neural network control of an uncertain 2-DOF helicopter system with input backlash and output constraints
Z Zhao, W He, J Yang, ZF Li - Neural Computing and Applications, 2022 - Springer
This study considers an adaptive neural control for a two degrees of freedom helicopter
nonlinear system preceded by system uncertainties, input backlash, and output constraints …
nonlinear system preceded by system uncertainties, input backlash, and output constraints …
Adaptive fuzzy PD control with stable H∞ tracking guarantee
For indirect adaptive fuzzy H∞ tracking control (AFHC) of perturbed uncertain nonlinear
systems, sliding-mode control (SMC) compensation usually has to be applied to ensure …
systems, sliding-mode control (SMC) compensation usually has to be applied to ensure …
Decomposition based Newton iterative identification method for a Hammerstein nonlinear FIR system with ARMA noise
F Ding, K Deng, X Liu - Circuits, Systems, and Signal Processing, 2014 - Springer
This paper derives a Newton iterative algorithm for identifying a Hammerstein nonlinear FIR
system with ARMA noise (ie, Hammerstein nonlinear controlled autoregressive moving …
system with ARMA noise (ie, Hammerstein nonlinear controlled autoregressive moving …
A takagi-sugeno fuzzy model-based control strategy for variable stiffness and variable dam** suspension
As the concept of variable stiffness and variable dam** (VSVD) has increasingly drawn
attention, suspensions applied with magnetorheological (MR) dampers to achieve varying …
attention, suspensions applied with magnetorheological (MR) dampers to achieve varying …
Adaptive fuzzy synergetic control for nonlinear hysteretic systems
The nonlinear hysteretic behavior exists in many systems and makes their analysis and
control an arduous task. Based on adaptive fuzzy synergetic control strategy, this paper …
control an arduous task. Based on adaptive fuzzy synergetic control strategy, this paper …
Robust adaptive mixed H2/H∞ interval type-2 fuzzy control of nonlinear uncertain systems with minimal control effort
A realistic control paradigm should concurrently account for different sources of uncertainty
such as those in modeling parameters, external disturbances and noise, as well as …
such as those in modeling parameters, external disturbances and noise, as well as …
Robust H ∞ output tracking control for fuzzy networked systems with stochastic sampling and multiplicative noise
In this paper, the problem of robust sampled-data H∞ output tracking control is investigated
for a class of fuzzy networked systems with stochastic sampling, multiplicative noise and …
for a class of fuzzy networked systems with stochastic sampling, multiplicative noise and …
Adaptive fuzzy SMC-based formation design for swarm of unknown time-delayed robots
In this paper, a multi-robot formation control is designed based on Sliding Mode Control
(SMC) technique. Although the structure and sensing capabilities of each robot are very …
(SMC) technique. Although the structure and sensing capabilities of each robot are very …
A new adaptive control of dual-motor driving servo system with backlash nonlinearity
H Zhao, C Wang - Sādhanā, 2018 - Springer
In order to weaken the influence of backlash nonlinearity on a dual-motor driving servo
system, we first establish the state-space model of the system. We then propose a new …
system, we first establish the state-space model of the system. We then propose a new …
Robust adaptive tracking control of MIMO nonlinear systems in the presence of actuator hysteresis
G Fu, L Ou, W Zhang - International Journal of Systems Science, 2016 - Taylor & Francis
Adaptive tracking control of a class of MIMO nonlinear system preceded by unknown
hysteresis is investigated. Based on dynamic surface control, an adaptive robust control law …
hysteresis is investigated. Based on dynamic surface control, an adaptive robust control law …