APC and MPC
Advanced controls enable efficient operation of non-linear systems with strong couplings, operated across a wide range of conditions under strict constraints.
This site uses no cookies, no external fonts and no tracking. The server keeps only technical logs (IP, timestamp, requested file) necessary to operate, purged regularly.
If you contact me by e-mail or phone, your data will be processed only to answer your inquiry.
Controller: Dr Rafał Noga, Germany.
APC/MPC, state estimation, mathematical optimization and digital twins - from diagnostic to deployment, and beyond: long-term maintenance, tuning and knowledge transfer to keep performance high over time.
Deep theoretical foundation plus many years of hands-on practice in R&D contexts, developing new types of systems where the solution is not obvious at the start. I adapt language to the audience and deliver key insights in a compact and engaging way.
Advanced controls enable efficient operation of non-linear systems with strong couplings, operated across a wide range of conditions under strict constraints.
Combine models with available sensors to improve accuracy, reduce the need for expensive sensors and estimate non-measurable variables.
Scheduling, logistics and resource allocation at plant level, and trajectory optimization for machines to increase throughput, reduce wear and lower energy costs.
Evaluate ideas and operating strategies without touching production. Parametric/sensitivity studies guide investment; models enable optimization and operator training.
Train operators offline to reduce interruptions and waste. Cover standard tasks, complex situations and safety-critical scenarios.
PhD-backed teaching and hundreds of public talks. Key knowledge delivered compactly and engagingly, tailored to experts, decision makers or technicians.
Cutting-edge, industry-standard tools chosen per application. Seamless integration with existing software and collaboration via version control.
Need something specific? Feel free to ask. I tailor solutions to your problem, process and industry.
Four engagement types with clear scope, high-quality execution and professional standards. Remote or on-site.
Uncover bottlenecks and opportunities using data analysis, on-site observations and feedback from your team. From insights to business cases and a practical roadmap.
20 years across the full lifecycle: requirements, architecture, implementation, testing, deployment and documentation on PCs, industrial systems, SCADA and embedded.
Hundreds of talks in five languages. Operator training with digital twins; engineer training in advanced control, state estimation, optimization; team mentoring.
Provide the technical expertise to assess and hire the right people, leveraging a broad network to find strong candidates.
Focused on practical results for manufacturing, machine builders, process industry and energy generation.
Guide operators or auto-adapt parameters when conditions change to reduce waste and raise throughput, by smart sensing and modeling relationships between desired parameters and environmental conditions.
Optimize the way your machine operates, increase precision through perfect feedback loops and trajectory optimization; make it more resilient to perturbations, reduce component wear and lower energy requirements.
Optimize mixing and processing, handle changing inputs, meet output quality and demand. Balance throughput, quality, energy and waste via advanced process control involving model-based predictive control and state estimation.
Increase energy yield while reducing component wear by damping oscillations through smart feedback loops and using model-based predictive control to optimize operation.
Custom solutions where it matters, and standard tools where they fit best.
Short reaction times and pragmatic delivery to keep momentum.
Maintenance, tuning, support and knowledge transfer to sustain performance.
Data analysis plus workshops with operators and management to uncover real problems.
Use simulation and optimization to save experimental time and reduce risk during development and commissioning.
Carefully weigh risks and benefits; enable progress via controlled trials of new parameters and approaches.
Two-week sprints with usable results each time; quick adaptation to changing requirements and experimental findings.
Strong foundations in mathematics, physics, computer science, control systems and optimization - applied to real problems.
Agile execution in two-week sprints across all packages, including clear deliverables after each sprint.
Understand the problem, data and objectives; identify quick wins and a sensible path forward.
Deliverables: analysis report + concise technical proposal.
Recreate the setup in simulation, build first models/estimators, run realistic studies to assess potential.
Deliverables: simulation study report + draft plan for experimental proof of concept.
Engineering aides or operator-training tools based on models; designed for non-experts.
Deliverables: working prototype + brief user guide.
Bring simulation into reality, run controlled tests, adapt parameters and validate performance on site.
Deliverables: test plan + on-site report + tuned settings.
Harden to industrial standards with documentation, safety and quality gates - ready for scale.
Deliverables: codebase and docs aligned with agreed standards.
Deploy on the machine or process. Operator training, extensive testing and final documentation.
Deliverables: commissioning report, training materials, SOPs.
Maintenance, tuning, adaptations and knowledge transfer - ongoing or punctual.
Deliverables: per-sprint updates and improvement notes.
Defined jointly upon agreement to match your specific needs and constraints.
Deliverables: as agreed, per-sprint outcomes and documentation.