Maximum Dynamic Load Determination via a Novel Robust State‐Dependent Differential Riccati Equation

ABSTRACT This paper presents a novel application of the differential form of the state‐dependent Riccati equation technique (SDRE) i.e., the state‐dependent differential Riccati equation (SDDRE) as an indirect solution to the robust tracking control (RTC) problem for determining maximum dynamic load. To address this, the complicated RTC problem is solved indirectly through introducing a parallel sub‐optimal problem. Minimising a modified performance index, the uncertainty and disturbances are effectively handled, as well as establishing a compromise between error reduction and small control effort while maximising‐load carrying capacity. To overcome the challenges associated with directly solving the uncertain state‐dependent differential Riccati equation (USDDRE) for complex systems, a modified Lyapunov‐based approach is developed. Additionally, a stability proof is provided for the proposed controller. The proposed controller is then applied to a flexible joint‐selective compliance articulated robot arm (FJ‐SCARA) carrying a load to demonstrate both its superiority and robustness.

Authors

Institutions

Publication Details

Journal
IET Control Theory and Applications
Published
2025-01-01
DOI
https://doi.org/10.1049/cth2.70041
Citations
1
Primary Topic
Adaptive Dynamic Programming Control
Type
article
Field-Weighted Citation Impact
1.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Maximum Dynamic Load Determination via a Novel Robust State‐Dependent Differential Riccati Equation

Neda Nasiri, Ahmad Fakharian, Mohammad Bagher Menhaj
1 citations
IET Control Theory and Applications
Adaptive Dynamic Programming Control
1.50
article

Maximum Dynamic Load Determination via a Novel Robust State‐Dependent Differential Riccati Equation

Neda Nasiri, Ahmad Fakharian, Mohammad Bagher Menhaj
article en
1 citations

Abstract

ABSTRACT This paper presents a novel application of the differential form of the state‐dependent Riccati equation technique (SDRE) i.e., the state‐dependent differential Riccati equation (SDDRE) as an indirect solution to the robust tracking control (RTC) problem for determining maximum dynamic load. To address this, the complicated RTC problem is solved indirectly through introducing a parallel sub‐optimal problem. Minimising a modified performance index, the uncertainty and disturbances are effectively handled, as well as establishing a compromise between error reduction and small control effort while maximising‐load carrying capacity. To overcome the challenges associated with directly solving the uncertain state‐dependent differential Riccati equation (USDDRE) for complex systems, a modified Lyapunov‐based approach is developed. Additionally, a stability proof is provided for the proposed controller. The proposed controller is then applied to a flexible joint‐selective compliance articulated robot arm (FJ‐SCARA) carrying a load to demonstrate both its superiority and robustness.

IET Control Theory and ApplicationsVol. 19(1)
Amirkabir University of Technology (IR), Qazvin Islamic Azad University (IR)
Openalex Percentile: Top 15%
Adaptive Dynamic Programming Control
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.