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[SE Flier] [CSU Online] [CSU Course Catalog]
Challenge-driven overview of the diversity of control paradigms for modern, dynamic engineering systems for realizing desired system behaviors.
Modern systems are becoming increasingly complex and dynamic, and direct treatment of the dynamics through advanced control systems are needed to realize desired performance and meet requirements from the operational level down to the device level. Control engineering is a large subfield of systems engineering and applies to many domains, including mechanical, electrical, aerospace, chemical, financial, biological,manufacturing, robotic, etc.
Topics include linear, nonlinear, optimal, robust, decentralized, and hierarchical control methods. Examples from aero-actuation, space, energy, thermal, chemical, and financial systems will be presented.
Successful students will learn to:
Linear Systems Control: Deterministic and Stochastic Methods (2008). Hendricks, Jannerup, and Sorense
[CSU Online] [CSU Course Catalog]
We will cover select methods and applications in the course for representing and solving linear, unconstrained, nonlinear, and systems optimization problems
Successful students will learn to:
Linear and Nonlinear Optimization (2009, 2nd ed.). Griva, Nash, and Sofer
[SE Flier] [CSU Online] [CSU Course Catalog]
Introduction to formal system architecture methods using the Systems Modeling Language (SysML) and Model-Based Systems Engineering (MBSE) using the Model-Based System Architecture Process (MBSAP) with detailed examples.
Formally capturing systems engineering artifacts such as requirements, domains, use cases, activities, and parametrics in an MBSE approach can better handle complexity, improve quality and consistency, enhance communications and knowledge transfer, and create reusable artifacts.
Topics include the operational, logical/functional, and physical viewpoints that establish the fundamental MBSAP methodology, a summary of architecting paradigms and tools, and specialized discussions on service-oriented, real-time, enterprise, network, secure, and reference architectures.
Students successfully completing this course will be able to:
Effective Model-Based Systems Engineering (2018). Borky and Bradley
[SE Flier] [CSU Online] [CSU Course Catalog]
This is the second of a two-course sequence in Model-Based Systems Engineering (MBSE). This course continues SYSE 567 by diving deeper into formal system architecting topics, modern tools, and research techniques for MBSE.
Realizing the benefits of MBSE necessitates the use of a modern MBSE tool that supports formal modeling in Systems Modeling Language (SysML) and advanced techniques such as simulation and optimization. This course will show a modern SysML tool and further principles and techniques for handling increasingly complex systems.
Topics include Cameo Systems Modeler, complexity, mathematical graph models, simulation, optimization, and open, secure, and agile system architecting.
Students successfully completing this course will be able to:
Effective Model-Based Systems Engineering (2018). Borky and Bradley
Please note that this section is still under development. The courses are not in any particular order.
Coming soon!