Analyses in the Observability and Identifiability Analyses of Process Models for Agricultural Anaerobic Digestion Plants explore the effective use of simplified Anaerobic Digestion Model No.1 (ADM1) in automation and state estimation. The work emphasizes the necessity of model observability for enhanced process control. Research Highlights:

• Successful manual algebraic assessment for models like ADM1-R4.
• Utilization of the geometrical approach for complex models through the STRIKE_GOLDD toolbox.
• Foundation for future advanced control designs and parameter estimation.

Importance: Understanding model observability ensures better prediction and control of anaerobic digestion processes, making it vital for improving the efficiency and sustainability of waste treatment plants. Future research could focus on refining these models for broader applications and addressing scalability challenges.