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
Ammar K. Al Mhdawi
Also published under:
Affiliation
School of Engineering and Sustainable Development, De Montfort University, Leicester, U.K.
Topic
Membership Function,Neural Network,Power Consumption,Root Mean Square Error,Angular Velocity,Approximate Computation,Artificial Neural Network,Control Design,Convolutional Neural Network,Deep Learning,Deep Neural Network,Dynamic Model,Finite Element Analysis,Fuzzy Control,Fuzzy Set,Internet Of Things,Linear Velocity,Machine Learning,Mean Square Error,Model Predictive Control,Numerical Experiments,Optimization Algorithm,Proportional-integral-derivative,Traffic Flow,Unmanned Aerial Vehicles,Acceptable Accuracy,Adaptive Control,Adaptive Fuzzy,Adaptive Fuzzy Control,Aircraft Engine,Analytic Hierarchy Process,Artificial Intelligence Applications,Autoencoder Network,Bidirectional Long Short-term Memory,Big Data,Bloom Filter,Bode Plots,Business Performance,Candidate Solutions,Centrifugal Force,Change In Error,Changes In Speed,Closed-loop System,Collision,Complex Projects,Computational Complexity,Computational Demands,Computational Efficiency,Computer System,Construction Projects,
Biography
Ammar K. Al Mhdawi received the Ph.D. degree in electronic and electrical engineering from Brunel University London, and the postdoctoral degree from Newcastle University, U.K. He is currently an Assistant Professor with the Department of Computer Science and Engineering, Edge Hill University, U.K. He is also the Leader of the Robotics and Autonomous Systems Group, Edge Hill University. He is a Freelance Consultant Engineer with more than 15 years of experience in control engineering and robotics. His research interests include nonlinear control (fuzzy control, modern control, and intelligent control) and (AUV, AGV, and UAV) robotic systems. He is a Guest Editor of Actuators (MDPI) Special Session.