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Data-driven robust approximate optimal tracking control for unknown general nonlinear systems using adaptive dynamic programming method
In this paper, a novel data-driven robust approximate optimal tracking control scheme is
proposed for unknown general nonlinear systems by using the adaptive dynamic …
proposed for unknown general nonlinear systems by using the adaptive dynamic …
Reinforcement learning for partially observable dynamic processes: Adaptive dynamic programming using measured output data
Approximate dynamic programming (ADP) is a class of reinforcement learning methods that
have shown their importance in a variety of applications, including feedback control of …
have shown their importance in a variety of applications, including feedback control of …
Direct nonlinear control design: The virtual reference feedback tuning (VRFT) approach
This paper introduces the virtual reference feedback tuning (VRFT) approach for controller
tuning in a nonlinear setup. VRFT is a data-based method that permits to directly select the …
tuning in a nonlinear setup. VRFT is a data-based method that permits to directly select the …
Direct data-driven control of constrained systems
In model-based control design, one often has to describe the plant by a linear model.
Deriving such a model poses issues of parameterization, estimation, and validation of the …
Deriving such a model poses issues of parameterization, estimation, and validation of the …
Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design
In this paper, we introduce a data-driven control design method that does not rely on a
model of the plant. The method is inspired by the Virtual Reference Feedback Tuning …
model of the plant. The method is inspired by the Virtual Reference Feedback Tuning …
Data‐driven model reference control with asymptotically guaranteed stability
This paper presents a data‐driven controller tuning method that includes a set of constraints
for ensuring closed‐loop stability. The approach requires a single experiment and can also …
for ensuring closed‐loop stability. The approach requires a single experiment and can also …
Robot control parameters auto-tuning in trajectory tracking applications
Autonomy is increasingly demanded to industrial manipulators. Robots have to be capable
to regulate their behavior to different operational conditions, adapting to the specific task to …
to regulate their behavior to different operational conditions, adapting to the specific task to …
Data-driven controller tuning: FRIT approach
In this tutorial paper, we give a basic concept of FRIT (fictitious reference iterative tuning) as
one of the data-driven controller tuning methods. We explain how FRIT can achieve a …
one of the data-driven controller tuning methods. We explain how FRIT can achieve a …
Design and application of a database-driven PID controller with data-driven updating algorithm
S Wakitani, T Yamamoto… - Industrial & Engineering …, 2019 - ACS Publications
This study deals with an updating algorithm for a database-driven proportional-integral-
derivative (DD-PID) controller that uses a database for tuning control parameters. PID …
derivative (DD-PID) controller that uses a database for tuning control parameters. PID …
Unbiased MIMO VRFT with application to process control
Continuous process industries usually have hundreds to thousands of control loops, most of
which are coupled, ie one control loop affects the behavior of another control loop. In order …
which are coupled, ie one control loop affects the behavior of another control loop. In order …