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September 12, 2025Journal of Automation Mobile Robotics & Intelligent Systems0 citationsOpen Access

Feedback Linearization Controller With Thau Observer

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KAKacimi AbderrahmaneASAbderrahmane Senoussaoui

Key Points

  • The proposed control method shows superior performance in regulating a twin rotor MIMO system.
  • Results confirm the effectiveness of feedback linearization and Thau Observer for trajectory tracking tasks.
  • Simulated and real-world experiments validate the advantages of the new control strategy.
  • The method fully leverages state information to optimize control actions.

Abstract

In this research presents a new control method for a twin rotor MIMO system, which models the behavior of a helicopter. The control strategy combines feedback linearization with a non-linear observer named Thau Observer and takes full advantage of the system's state information. The proposed method is tested in both simulated and real-world experiments, and it is evaluated for its ability to perform regulation and trajectory tracking tasks. The results demonstrate the effectiveness and superior performance of the proposed control method in controlling the twin rotor MIMO system.

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Cite This Study

Abderrahmane et al. (2025) studied this question.

synapsesocial.com/papers/68d44c3d31b076d99fa558f8https://doi.org/10.14313/jamris-2025-026
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Robust Backstepping Control of a Twin Rotor MIMO System via an RBF-Tuned High-Gain Observer2026 · 4 citations
  2. 2Differentiator- and Observer-Based Feedback Linearized Advanced Nonlinear Control Strategies for an Unmanned Aerial Vehicle System2024 · 32 citations
  3. 3High-Gain Observer-Based Backstepping Control for Real-Time Trajectory Tracking of a Twin Rotor MIMO System: Adaptive Tuning Functions Versus Metaheuristic Gain Optimization2026
  4. 4Observer-Based Hybrid Backstepping–Super-Twisting Control of a Twin Rotor MIMO System with Windowed Metaheuristic Gain Scheduling: Real-Time Tracking Experiments and Numerical Disturbance Analysis2026
  5. 5Design and Experimental Validation of an Adaptive Multi-Layer Neural Network Observer-Based Fast Terminal Sliding Mode Control for Quadrotor System2024 · 2 citations