Related Experiment Video
Updated: May 10, 2025

Transfer of Manipulated Tumor-associated Neutrophils into Tumor-Bearing Mice to Study their Angiogenic Potential In Vivo
Published on: July 20, 2019
Predictor-Based Output Feedback Control of Tumour Growth With Positive Input: Application to Antiangiogenic Therapy
1Department of Mechanical Engineering, Fasa University, Fasa, Iran.
Abstract:
Controlling tumour growth systems presents significant challenges due to the inherent restriction of positive input in biological systems, along with delays in system output and input measurements. Traditional control methods struggle to address these issues effectively, as they rely heavily on real-time feedback from system outputs. The delays in output measurements can lead to instability in closed-loop systems, whereas the inability of conventional approaches to manage the positive input constraint often results in ineffective control. In this study, the authors propose a novel control system designed to overcome these challenges. First, a system state prediction observer that utilises delayed output measurements was developed. Next, a backstepping technique was utilized to develop a feedback controller that ensures the control input stays positive, thereby guaranteeing the system's asymptotic stability. Furthermore, numerical comparisons with previous research validate the effectiveness of the proposed strategy. Overall, the approach offers a promising solution to the issues of delays and positive input constraints in tumour growth control systems.
Insights
This study introduces a new control system to manage tumour growth, overcoming challenges like measurement delays and positive input constraints. The novel approach ensures system stability and effective tumour control.
Area of Science:
- Biomedical Engineering
- Control Systems Theory
- Mathematical Oncology
Background:
- Tumour growth control is complex due to positive input restrictions and measurement delays.
- Traditional control methods are often ineffective because they cannot handle these biological system constraints.
- System instability can arise from output measurement delays in closed-loop systems.
Purpose of the Study:
- To develop a novel control system for tumour growth that addresses input constraints and measurement delays.
- To ensure the asymptotic stability of tumour growth control systems.
- To validate the proposed control strategy's effectiveness through numerical comparisons.
Main Methods:
- Development of a system state prediction observer utilizing delayed output measurements.
- Application of a backstepping technique to design a feedback controller.
- Ensuring the positivity of the control input to maintain system stability.
Main Results:
- The proposed control system effectively manages delays and positive input constraints in tumour growth models.
- The backstepping controller guarantees asymptotic stability for the closed-loop system.
- Numerical simulations demonstrate the superiority of the proposed strategy over existing methods.
Conclusions:
- The novel control system offers a robust solution for tumour growth regulation.
- The integration of a state prediction observer and a positive-constrained controller is effective.
- This approach advances the potential for precise and stable tumour treatment strategies.
Related Concept Videos
Regulation of Angiogenesis and Blood Supply
Targeted Cancer Therapies
There are several types of targeted therapies against...
Tumor Immunotherapy
mTOR Signaling and Cancer Progression
The mTOR pathway or the...

