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Operations Research, Systems Engineering and Industrial Engineering Commons™
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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)
- 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 Operations Research, Systems Engineering and Industrial Engineering
Composite Structures Using Asphalt Based Roofing Scrap Materials: Eiera -- Final Report, V. J. Flanigan, K. Chandrashekhara, Susan L. Murray
Composite Structures Using Asphalt Based Roofing Scrap Materials: Eiera -- Final Report, V. J. Flanigan, K. Chandrashekhara, Susan L. Murray
Mechanical and Aerospace Engineering Faculty Research & Creative Works
The uses of recycled materials in composites provide the potential for large cost savings and a solution to the ever-growing disposal problem. Shingles contain petroleum based binders and fillers, which used as a valuable resource in composite production. Composites offer inherent advantages over traditional materials in regard to corrosion resistance, design flexibility and extended service life. Use of scrap-roofing shingles as a core material in glass fiber reinforced composite materials offer potential low cost composite products such as sound barrier system, railroad ties and other building materials including blocks. In the present work, processes have been developed for shredding scrap …
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 …