This paper reviews the state-of-the-art in FPGA design methodologies, focusing on their application in Industrial Control Systems (ICS). It begins with an overview of FPGA technology, including its development and key features such as configurable logic blocks and interconnection networks. The paper then discusses design methodologies, development tools, and CAD environments, emphasizing the use of portable Hardware Description Languages (HDLs) and System Level Programming/Design tools. These tools enable a holistic functional approach, allowing for the creation of a unique modeling and evaluation environment for complete ICS. The paper outlines three main design rules: algorithm refinement, modularity, and systematic search for the best compromise between control performance and architectural constraints. It also provides an overview of the contributions and limitations of FPGAs in ICS, followed by a survey of FPGA-based intelligent controllers for modern industrial systems. Two case studies are presented to illustrate the benefits of FPGA implementation using the proposed system modeling and design methodology. These cases involve Direct Torque Control for induction motor drives and fuzzy logic control for a diesel-driven synchronous stand-alone generator. The paper highlights the advantages of FPGA-based controllers, such as reduced cost, confidentiality, and improved control performance. It also discusses the challenges and opportunities in using FPGAs for industrial control systems, including power consumption, thermal management, reliability, and protection against radiation. The holistic approach to system modeling and design, combined with the benefits of HDLs and FPGAs, enables the efficient modeling, simulation, and evaluation of complex controllers. Finally, the paper explores the use of FPGAs in intelligent and complex control systems, including neural networks and fuzzy logic-based control systems. It discusses the potential of FPGA-based solutions in various industrial applications, emphasizing the importance of rapid prototyping and flexible hardware design.This paper reviews the state-of-the-art in FPGA design methodologies, focusing on their application in Industrial Control Systems (ICS). It begins with an overview of FPGA technology, including its development and key features such as configurable logic blocks and interconnection networks. The paper then discusses design methodologies, development tools, and CAD environments, emphasizing the use of portable Hardware Description Languages (HDLs) and System Level Programming/Design tools. These tools enable a holistic functional approach, allowing for the creation of a unique modeling and evaluation environment for complete ICS. The paper outlines three main design rules: algorithm refinement, modularity, and systematic search for the best compromise between control performance and architectural constraints. It also provides an overview of the contributions and limitations of FPGAs in ICS, followed by a survey of FPGA-based intelligent controllers for modern industrial systems. Two case studies are presented to illustrate the benefits of FPGA implementation using the proposed system modeling and design methodology. These cases involve Direct Torque Control for induction motor drives and fuzzy logic control for a diesel-driven synchronous stand-alone generator. The paper highlights the advantages of FPGA-based controllers, such as reduced cost, confidentiality, and improved control performance. It also discusses the challenges and opportunities in using FPGAs for industrial control systems, including power consumption, thermal management, reliability, and protection against radiation. The holistic approach to system modeling and design, combined with the benefits of HDLs and FPGAs, enables the efficient modeling, simulation, and evaluation of complex controllers. Finally, the paper explores the use of FPGAs in intelligent and complex control systems, including neural networks and fuzzy logic-based control systems. It discusses the potential of FPGA-based solutions in various industrial applications, emphasizing the importance of rapid prototyping and flexible hardware design.