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So, you want to learn about control systems? Kudos to you for diving into the deep end! Control theory is a fascinating topic spanning differential equations, analysis techniques, control synthesis and much more... but don't let your head spin just yet. I started teaching this crash course in 2019 as an AIAA Student Branch initiative at Penn State University when I realized that the next generation of students will be faced with a new kind of responsibility. As robotic systems develop further, it will be necessary to not only guarantee the stability of dynamic systems, but to guarantee the reliability and safety of autonomous vehicles. The world's leading scientists are currently designing autonomous vehicles that can think for themselves but even our best students are still scratching their heads over the Laplace Transform (I definitely did). The Autonomous Revolution is under way and we need to reclaim the future we've sold to machines by getting personal with what it means to sense, perceive, plan and act. So, grab a spot in this crash course before a robot steals your seat!
Interested in contributing to the course? Click here! Constructive feedback is always welcome!
- Nate Osikowicz
CONTROL THEORY PRIMER
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While I'm busy putting the finishing touches on the first project, have a look at the Control Theory Primer. This is a collection of online lectures and examples from some of the internet's best Control Theory enthusiasts like Brian Douglas and Steve Brunton. I've learned a lot from these guys over the years and I hope you can too!
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