STA200: System Identification and Dynamic Modeling Course

Course Description

STA200 is an online system identification course introducing transfer-function identification and industrial dynamic modeling. It examines how input-output process data can be used to estimate dynamics and how noise, drift and disturbances affect the interpretation of those estimates.

The course covers first-order and zero-order transfer functions, linearity, superposition and practical identification challenges. PITOPS laboratory examples explore transfer-function identification using open-loop data, closed-loop data or a mixture of both, including processes with multiple inputs.

Choose STA200 for model identification. PID100 connects process dynamics with PID tuning, while MPC700 model predictive control training examines model-based control applications. Read the industrial system identification guide.

What you receive with this course

Study system identification and dynamic modeling through engineer-developed, recorded video training grounded in decades of industrial process-control experience. AIAPC's course-development background connects engineering principles with practical plant-control work.

• 365-day course access: work through the recorded lessons at your own pace during your access period.
• Course assessment: take the course quiz, with a 70% passing score.
• Completion certificate: receive an AIAPC course completion certificate after completing the required learning and passing the assessment.
• A clear study plan: review the syllabus, prerequisites and practical requirements below before choosing the course.

Your learning journey

1. Check the fit. Compare the learning outcomes with your current experience and review the software requirements.
2. Study the recorded lessons. Revisit the course videos within your 365-day access period and work through the published topics.
3. Check your understanding. Complete the required course learning and achieve at least 70% in the quiz.
4. Record your completion. Receive your AIAPC completion certificate. This records completion of this course; it is not a professional licence or a vendor accreditation.

For course support, use the contact form or email [email protected]. Scheduled live classes and private team training can be arranged separately.

Where these skills are used

• Chemical processing and refining: Relate measured input-output responses to dynamic models of equipment such as tanks, heat exchangers and reactors.
• Process modeling and control support: Separate estimation data from validation evidence before using an identified model in later control studies.

Relevant work contexts: Process or control engineers and modeling specialists who need a foundation in transfer-function identification and model interpretation. These examples describe applications of the subject, not a promise of industry-specific exercises, job placement or employment. Employers also assess experience, site procedures and role-specific qualifications. Explore the process-control skills and career guide for broader learning context.

Learning Outcomes:

Study how to interpret transfer-function parameters, distinguish process behavior from disturbances and examine the limitations of an identified model. The objective is to develop a basis for evaluating industrial dynamic models, rather than treating every fitted curve as a reliable description of the process.

The course syllabus covers:

Learning Format and Practical Requirements

This is recorded video training. For software-based exercises, contact AIAPC to confirm installation, compatibility and licensing requirements before enrolling. Live classes and company team training are arranged separately by appointment.

Compare the course catalog and learning paths, or review course completion certificate requirements before choosing your training.

Continue with the practical learning article: First-Order Plus Dead-Time Model: A Worked Example. Review its worked example alongside the course topics above.