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Electrical and Computer Engineering Faculty Research & Creative Works
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- Adaptive Control (1)
- Adaptive Critic-Based Neural Network Controller (1)
- Closed Loop Systems (1)
- Closed-Loop Tracking Error (1)
- Control Nonlinearities (1)
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- Control System Synthesis (1)
- Deadzone Compensation Scheme (1)
- Deadzone Nonlinearity (1)
- Discrete Time Systems (1)
- Dynamics Approximation (1)
- Educational Activities (1)
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- Engineering Groups (1)
- Interdisciplinary Courses (1)
- Learning (Artificial Intelligence) (1)
- Lyapunov Approach (1)
- Multilayer Neural Network Controller (1)
- Multilayer Perceptrons (1)
- Neurocontrollers (1)
- Nonlinear Control Systems (1)
- Reinforcement Learning Scheme (1)
- Tracking Performance (1)
- Uncertain Nonlinear Systems (1)
- Uncertain Systems (1)
- Uniform Ultimately Boundedness (1)
- Unknown Deadzones (1)
- Weight Estimates (1)
Articles 1 - 2 of 2
Full-Text Articles in Engineering
Interdisciplinary Graduate Experience: Lessons Learned, Steve Eugene Watkins, V. M. Eller, Josh Corra, M. J. Molander, Bethany Konz, Richard H. Hall, K. Chandrashekhara, Abdeldjelil Belarbi
Interdisciplinary Graduate Experience: Lessons Learned, Steve Eugene Watkins, V. M. Eller, Josh Corra, M. J. Molander, Bethany Konz, Richard H. Hall, K. Chandrashekhara, Abdeldjelil Belarbi
Electrical and Computer Engineering Faculty Research & Creative Works
Engineers interact in the workplace with technical peers in other disciplines at all stages of design, development, and application. Awareness of the constraints and needs of the other disciplines can be key in many situations. Such interdisciplinary activity and the associated communication are facilitated if the all participants have a solid knowledge of discipline-specific terminology and an understanding of connecting concepts. Consequently, experience relating to interdisciplinary teamwork is a necessary component of engineering education. The Smart Engineering Group at the University of Missouri-Rolla was established to conduct interdisciplinary research and to create interdisciplinary educational resources. The topical interest area is …
Adaptive Critic-Based Neural Network Controller For Uncertain Nonlinear Systems With Unknown Deadzones, Pingan He, Jagannathan Sarangapani, S. N. Balakrishnan
Adaptive Critic-Based Neural Network Controller For Uncertain Nonlinear Systems With Unknown Deadzones, Pingan He, Jagannathan Sarangapani, S. N. Balakrishnan
Electrical and Computer Engineering Faculty Research & Creative Works
A multilayer neural network (NN) controller in discrete-time is designed to deliver a desired tracking performance for a class of nonlinear systems with input deadzones. This multilayer NN controller has an adaptive critic NN architecture with two NNs for compensating the deadzone nonlinearity and a third NN for approximating the dynamics of the nonlinear system. A reinforcement learning scheme in discrete-time is proposed for the adaptive critic NN deadzone compensator, where the learning is performed based on a certain performance measure, which is supplied from a critic. The adaptive generating NN rejects the errors induced by the deadzone whereas a …