Center for Advanced Control Technologies (CACT)

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ESTABLISH a renowned, interdisciplinary, research and development environment to extend the boundary of knowledge in control technologies, in partnership with business and government. Generate a valuable portfolio of intellectual property based on these new technologies. Assist the center’s business and government partners with the adoption and application of this intellectual property to significantly enhance their products, services or internal processes to their competitive advantage. Disseminate the newly developed knowledge throughout the partner’s organizations via research reviews and publications, technical workshops and onsite training, internships, sabbaticals, and research collaboration. Provide specific problem-solving expertise to the center’s partners in process control, machine control, system monitoring, diagnostics, machine intelligence, vision sensing, etc. Maintain a hands-on learning environment for students to develop and apply these new technologies to solve real-world problems.

Research Goals:

The past 80 years have seen great leaps in control theory. Indeed, the advances have been so great as to spawn an entire new branch of mathematics. Modern control theory has literally put humans on the moon and brought distant galaxies into focus, but it has not found its way into the lives of ordinary people, because it is too complex to understand and apply by any but the most practiced mathematicians. It unfortunately remains in the realm of rocket science.

CSU has, over the last few years, built the CACT into a world class research center. The CACT emphasis is not limited to academic research, but rather addressing the most timely and difficult commercial and consumer product control issues with cutting edge control technology. Most control applications use the same PID technology today as 80 years ago, because it is “good enough” and easy to apply. The CACT vision is to implement these new control technologies in a manner as simple to use yet more powerful and reliable than PID.


In the area of developing cutting edge technologies to help companies to maintain a competitive advantage in industrial control, the CSU research center is without peer. The CACT is pursuing technologies such as:

  • Advanced control algorithms: Active Disturbance Rejection Control, Non-linear PID, multi-variable time varying control, scaling and parameterization, discrete time control, adaptive control, self-tuning control, model independent control, and distributed control systems.

  • System diagnostics and health monitoring, signature analysis.

  • System optimization: statistical sampling, fuzzy logic, neural networks, system estimators, wavelet transformations, filters, and observers.

  • 2D & 3D optical and vision recognition and measurement.

  • Machine intelligence and model building.

  • Multi-sensor fusion, multi-input and multi output systems.

  • Robotics and automation.

  • Intelligent signal processing.

  • Hardware in the loop simulation.

  • Control hardware at all levels: PC based, card based as well as embedded uP/DSP chip based systems.

  • Rapid prototyping: electronic design, circuit layout, in-circuit emulation, enclosure testing.

All of these technologies have exciting theoretical applications, and the potential to make machines many times more efficient, but what interests the researchers at the CACT is their potential to make control practical. This is the most valuable aspect of these technologies, because that gives them the potential for rapid and widespread application. These technologies have been proven at the CACT in many industrial applications:


A Proven Track Record:

  • Self-tuning web tension regulation.

  • Advanced industrial temperature control.

  • Automated screw fastening for assembly.

  • Medical electronics pressure control.

  • High speed manufacturing motion control .

  • On-line motor vibration analysis.

  • 3D optical inspection, object recognition.

  • Optimization using Taguchi statistical techniques, fuzzy logic,  neural networks.

  • System monitoring, diagnostics and prognostics using signature analysis.

  • 3D optical gauging of aircraft tires.

  • Fuzzy logic optimization of DC motor winding current.

  • Adaptive stepper motor field control.

  • Estimation and real time control of un-measurable Turbofan engine parameters.

  • Distributed DC-DC power system with disturbance rejection and noise immunity.

  • Web based toolkit for remote modeling of plants and simulation of advanced control schemes.

  • Quality monitoring for natural vibrating sources of structures in space microgravity.


Please Call On Us When You Need Cutting Edge Technology Put To Practical Use


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Last Updated: May 26, 2004