
Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Raul K. Mansano
Also published under:
Affiliation
Control and Automation Engineering, Sao Paulo State University, Sorocaba, 18087-180 Sao Paulo, Brazil
Topic
Battery Lifetime,Control Performance,Wireless Networked Control Systems,Wireless Networks,Wireless Sensor,Control Signal,Control Strategy,Control System,Energy Efficiency,Networked Control Systems,Packet Loss,Proportional-integral-derivative,Sampling Period,Virtual Data,Wireless Transmission,Actuator,Adaptive Control,Control Applications,Control Loop,Control Parameters,Model-based Control,Performance Indicators,Real Samples,Recursive Least Squares Algorithm,Simulation Model,Sleep Mode,Wireless Control,Wireless Devices,Adaptive Multi-rate,Adaptive System,Aperiodic Control,Battery Power,Closed-loop Control,Concern For Applications,Control Techniques,Current Consumption,DC Motor,Data Transmission,Development Of Communication Technology,Energy Conservation,Energy Consumption,Forgetting Factor,Graph Optimization,Improve Energy Efficiency,Minimum Period,Model Convergence,Model Predictive Control,Motion Velocity,Multi-rate Control,Network System,
Biography
Raul K. Mansano, Renan J. Rodrigues, and Eduardo Paciencia Godoy ([email protected]) are with São Paulo State University (Unesp), Sorocaba, Brazil. Diego Colón is with the University of São Paulo, Brazil. This article first appeared as “Self-Tuning Adaptive Multi-Rate Control for Energy Efficient Wireless Networked Control Systems” at the 2016 IEEE 12th International Conference on Industry Applications. This article was reviewed by the IAS Industrial Automation and Control Committee.