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Modern engineering systems rely on advanced control and instrumentation to operate safely, efficiently and autonomously. From industrial automation and robotics to autonomous vehicles and aerospace systems, engineers use sophisticated control strategies to monitor, regulate and optimise system performance. This module develops the advanced analytical and practical skills needed to design these intelligent engineering systems.

You will build on your knowledge of classical control by exploring state-space methods, multivariable systems, digital control and nonlinear system analysis. Alongside control theory, you will investigate instrumentation systems, measurement technologies and digital signal processing, learning how sensing, computation and control are integrated into complete engineering systems. Throughout the module, you will strengthen your modelling, analysis and design skills while developing an appreciation of the practical challenges involved in implementing advanced control systems.

By the end of the module, you will be able to design and evaluate modern control and instrumentation systems for complex engineering applications, preparing you for careers in automation, robotics, aerospace, automotive engineering and intelligent manufacturing.

This module covers topics in classical and modern control analysis and design with a focus on linear time invariant systems. Fundamental design and analysis in the time and frequency domain are reviewed and developed. The properties of discrete-time systems (computer control) are introduced and the fundamentals of digital control introduced. State-space control analysis and design methods are then explored, including multivariable control and disturbance rejection. As all systems are nonlinear to some extent, this module also introduces the analysis and design for nonlinear dynamical systems. The practical aspects of control design and its digital implementation are also discussed in this module.

The module aims to give the student a general overview of instrumentation systems, with particular emphasis on the integration of the various components in a system. There is an emphasis on system design, such that students can design a complete system, from an understating of the measurement requirement to the input to digital systems. It includes an introduction to digital signal processing. The module will require/assume a basic understanding of electronics, to include operational amplifiers and digital electronics.

To attend this module, students are expected to have learned and understood classical continuous-time control analysis and design that includes dynamical modelling, transient responses, stability and steady state error analysis and basic PID controller design.

Modern engineering systems rely on advanced control and instrumentation to operate safely, efficiently and autonomously. From industrial automation and robotics to autonomous vehicles and aerospace systems, engineers use sophisticated control strategies to monitor, regulate and optimise system performance. This module develops the advanced analytical and practical skills needed to design these intelligent engineering systems.

You will build on your knowledge of classical control by exploring state-space methods, multivariable systems, digital control and nonlinear system analysis. Alongside control theory, you will investigate instrumentation systems, measurement technologies and digital signal processing, learning how sensing, computation and control are integrated into complete engineering systems. Throughout the module, you will strengthen your modelling, analysis and design skills while developing an appreciation of the practical challenges involved in implementing advanced control systems.

By the end of the module, you will be able to design and evaluate modern control and instrumentation systems for complex engineering applications, preparing you for careers in automation, robotics, aerospace, automotive engineering and intelligent manufacturing.

Modern engineering systems rely on advanced control and instrumentation to operate safely, efficiently and autonomously. From industrial automation and robotics to autonomous vehicles and aerospace systems, engineers use sophisticated control strategies to monitor, regulate and optimise system performance. This module develops the advanced analytical and practical skills needed to design these intelligent engineering systems.

You will build on your knowledge of classical control by exploring state-space methods, multivariable systems, digital control and nonlinear system analysis. Alongside control theory, you will investigate instrumentation systems, measurement technologies and digital signal processing, learning how sensing, computation and control are integrated into complete engineering systems. Throughout the module, you will strengthen your modelling, analysis and design skills while developing an appreciation of the practical challenges involved in implementing advanced control systems.

By the end of the module, you will be able to design and evaluate modern control and instrumentation systems for complex engineering applications, preparing you for careers in automation, robotics, aerospace, automotive engineering and intelligent manufacturing.

Modern engineering systems rely on advanced control and instrumentation to operate safely, efficiently and autonomously. From industrial automation and robotics to autonomous vehicles and aerospace systems, engineers use sophisticated control strategies to monitor, regulate and optimise system performance. This module develops the advanced analytical and practical skills needed to design these intelligent engineering systems.

You will build on your knowledge of classical control by exploring state-space methods, multivariable systems, digital control and nonlinear system analysis. Alongside control theory, you will investigate instrumentation systems, measurement technologies and digital signal processing, learning how sensing, computation and control are integrated into complete engineering systems. Throughout the module, you will strengthen your modelling, analysis and design skills while developing an appreciation of the practical challenges involved in implementing advanced control systems.

By the end of the module, you will be able to design and evaluate modern control and instrumentation systems for complex engineering applications, preparing you for careers in automation, robotics, aerospace, automotive engineering and intelligent manufacturing.

This module covers topics in classical and modern control analysis and design with a focus on linear time invariant systems. Fundamental design and analysis in the time and frequency domain are reviewed and developed. The properties of discrete-time systems (computer control) are introduced and the fundamentals of digital control introduced. State-space control analysis and design methods are then explored, including multivariable control and disturbance rejection. As all systems are nonlinear to some extent, this module also introduces the analysis and design for nonlinear dynamical systems. The practical aspects of control design and its digital implementation are also discussed in this module.

The module aims to give the student a general overview of instrumentation systems, with particular emphasis on the integration of the various components in a system. There is an emphasis on system design, such that students can design a complete system, from an understating of the measurement requirement to the input to digital systems. It includes an introduction to digital signal processing. The module will require/assume a basic understanding of electronics, to include operational amplifiers and digital electronics.

To attend this module, students are expected to have learned and understood classical continuous-time control analysis and design that includes dynamical modelling, transient responses, stability and steady state error analysis and basic PID controller design.

This module covers topics in classical and modern control analysis and design with a focus on linear time invariant systems. Fundamental design and analysis in the time and frequency domain are reviewed and developed. The properties of discrete-time systems (computer control) are introduced and the fundamentals of digital control introduced. State-space control analysis and design methods are then explored, including multivariable control and disturbance rejection. As all systems are nonlinear to some extent, this module also introduces the analysis and design for nonlinear dynamical systems. The practical aspects of control design and its digital implementation are also discussed in this module.

The module aims to give the student a general overview of instrumentation systems, with particular emphasis on the integration of the various components in a system. There is an emphasis on system design, such that students can design a complete system, from an understating of the measurement requirement to the input to digital systems. It includes an introduction to digital signal processing. The module will require/assume a basic understanding of electronics, to include operational amplifiers and digital electronics.

To attend this module, students are expected to have learned and understood classical continuous-time control analysis and design that includes dynamical modelling, transient responses, stability and steady state error analysis and basic PID controller design.

This module guides students through the development of knowledge and understanding of linear continuous-time systems. It then introduces the basic analysis and design tools for electronic system control and provides opportunities to develop practical design skills based on these. The module further provides practice in different specific application areas for each of the main Programmes, covering the use of control system design in these areas. FInally, it provides pre-requisite knowledge and understanding for level 6 and level 7 optional modules in systems and control engineering.

This module guides students through the development of knowledge and understanding of linear continuous-time systems. It then introduces the basic analysis and design tools for electronic system control and provides opportunities to develop practical design skills based on these. The module further provides practice in different specific application areas for each of the main Programmes, covering the use of control system design in these areas. FInally, it provides pre-requisite knowledge and understanding for level 6 and level 7 optional modules in systems and control engineering.

This module guides students through the development of knowledge and understanding of linear continuous-time systems. It then introduces the basic analysis and design tools for electronic system control and provides opportunities to develop practical design skills based on these. The module further provides practice in different specific application areas for each of the main Programmes, covering the use of control system design in these areas. FInally, it provides pre-requisite knowledge and understanding for level 6 and level 7 optional modules in systems and control engineering.