Scope Call for Participation Program Schedule

6th International Conference on Soft Computing, Control and Mathematics (SCM 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft Computing, Mathematics and Control. The conference documents practical and theoretical results which make a fundamental contribution for the development of Soft Computing, Mathematics and Control. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

• Abstract Algebra and Applications

• Adaptive Control

• Agriculture, Environment, Health Applications

• Algorithms

• Applications of Modeling in Science and Engineering

• Artificial Neural Networks (ANN)

• Computational Complexity

• Computer Modeling

• Control Theory

• Differential Geometry

• Digital Control

• Discrete Mathematics

• Embedded Systems

• Evolutionary Algorithms

• Fault Detection and Isolation

• Feedback Control

• Functional Analysis

• Fuzzy Logic and Applications

• Fuzzy Set Theory

• Genetic Algorithms

• Genetic Algorithms and Evolutionary Computing

• Graph Theory and Applications

• Hybrid Systems

• Industry, Military and Space Applications

• Linear and Nonlinear Control Systems

• Linear and Nonlinear Programming

• Markov Chains and Applications

• Mathematical Modeling

• Model Predictive Control

• Networked Control Systems

• Neural Networks and Fuzzy Logic

• Neuro-Fuzzy Control

• Numerical Analysis

• Numerical Analysis and Scientific Computing

• Operations Research

• Optimal Control

• Optimization and Optimal Control

• Optimization Theory

• Ordinary and Partial Differential Equations

• Process Control and Instrumentation

• Real and Complex Analysis

• Real-time Issues

• Robust Control

• Scientific Computing

• Set Theory

• Sliding Mode Control

• Soft Computing and Control

• Stochastic Control and Filtering

• Stochastic Modeling

• System Identification and Control

• Systems and Automation

• Topology and Analysis