Multilayer neural network-based optimal adaptive tracking control of partially uncertain nonlinear discrete-time systems
R Moghadam, P Natarajan… - 2020 59th IEEE …, 2020 - ieeexplore.ieee.org
In this paper, online optimal adaptive tracking control of nonlinear discrete-time systems in
affine form with uncertain internal dynamics is presented. The augmented system and the …
affine form with uncertain internal dynamics is presented. The augmented system and the …
A novel fast iterative learning control for linear discrete systems with parametric disturbance and measurement noise
T Lei, S Riaz, N Manzoor - Mathematical Problems in …, 2022 - Wiley Online Library
Precise industrial control technology is constantly in need of accurate and strong control.
Error convergence for a typical linear system is very minimal when using a conventional …
Error convergence for a typical linear system is very minimal when using a conventional …
[PDF][PDF] Accelerated iterative learning control for linear discrete systems with parametric perturbation and measurement noise
X Yang, S Riaz - CMES-Comput. Model. Eng. Sci, 2022 - academia.edu
An iterative learning control algorithm based on error backward association and control
parameter correction has been proposed for a class of linear discrete time-invariant systems …
parameter correction has been proposed for a class of linear discrete time-invariant systems …
Application of Non-Simulators in the Problem of Finding Quasi-Optimal Control of a Nonlinear Object
D Feofilov, D Khapkin - 2024 6th International Conference on …, 2024 - ieeexplore.ieee.org
The problem of finding quasi-optimal control of a complex dynamic object containing
nonlinearity under incomplete information conditions is difficult to solve. One of the problems …
nonlinearity under incomplete information conditions is difficult to solve. One of the problems …