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DETAILED DESIGN SPECIFICATION (DDS) AI-Assisted Auto Tuning System for Industrial Processes
Paperback
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ISBN13: 9798242855410
Publisher: Independently Published
Published: Jan 6 2026
Pages: 178
Weight: 0.54
Height: 0.38 Width: 6.00 Depth: 9.00
Language: English
Publisher: Independently Published
Published: Jan 6 2026
Pages: 178
Weight: 0.54
Height: 0.38 Width: 6.00 Depth: 9.00
Language: English
Detailed Design Specification (DDS): AI-Assisted Auto-Tuning for Industrial PID Controllers
This paperback edition delivers a complete DDS framework for designing, validating, and deploying an AI-assisted auto-tuning system in industrial environments. Built for Siemens PLC platforms (PCS 7, TIA Portal), the book covers state-machine architecture, IMC and Bayesian optimization algorithms, safety interlocks, rollback procedures, and KPI-driven deployment workflows.
This paperback edition delivers a complete DDS framework for designing, validating, and deploying an AI-assisted auto-tuning system in industrial environments. Built for Siemens PLC platforms (PCS 7, TIA Portal), the book covers state-machine architecture, IMC and Bayesian optimization algorithms, safety interlocks, rollback procedures, and KPI-driven deployment workflows.
Readers gain practical guidance on FAT/SAT validation, audit traceability, and regulatory alignment with IEC 61511, IEC 62443, and FDA 21 CFR Part 11, ensuring safe commissioning and compliance-ready automation.
To support hands-on learning, the book provides access to a GitHub repository containing reference source code, modular examples, and validation scripts. This enables engineers and auditors to explore implementations, adapt workflows, and maintain full traceability in real projects.
To support hands-on learning, the book provides access to a GitHub repository containing reference source code, modular examples, and validation scripts. This enables engineers and auditors to explore implementations, adapt workflows, and maintain full traceability in real projects.
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