Control Theory

Notes on Control for Integrator Systems Integrator systems are among the simplest control plants, and controlling such systems can yield many highly interesting control effects. In following slices, we talking about sliding mode control, FT/FxT/PdT/PT control. Control-for-Integrator-Systems employs sliding-mode control for a single integrator and introduces several concepts related to fixed-time control. Control-for-Integrator-Systems-2 applies sliding-mode control to a double integrator. Control-for-Integrator-Systems-3 presents sliding-mode control techniques suitable for high-order integrator systems. Control-for-Integrator-Systems-4 introduces fundamentals related to discontinuous systems, including Filippov solutions and set-valued systems.

The dynamic figures are presented below in gif and webp format. Fig. 3 gif webp Fig. 9 gif webp

The gif-format figures in our paper Singleton-free fencing control of unknown maneuver target are presented below. Fig. 4 Fig. 6 (a) Fig. 6 (b)

infomation Varga, A. (2020). Computer-Aided Control Systems Design: Introduction and Historical Overview. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_138-3 Source: springer, pdf First Online: 08 November 2019 Author: Andreas Varga Institution: German Aerospace Center, DLR Oberpfaffenhofen Institute of System Dynamics and Control email: Andreas.Varga@dlr.de Abstract Computer-aided control system design (CACSD) encompasses a broad range of methods, tools and technologies for system modelling, control system synthesis and tuning, dynamic system analysis and simulation, as well as validation and verification. The domain of CACSD enlarged progressively over decades from simple collections of algorithms and programs for control system analysis and synthesis, to comprehensive tool sets and user-friendly environments supporting all aspects of developing and deploying advanced control systems in various application fields. This article gives a brief introduction to CACSD and reviews the evolution of key concepts and technologies underlying the CACSD domain. Several cornerstone achievements in developing reliable numerical algorithms, implementing robust numerical software and developing sophisticated integrated modelling, simulation and design environments are highlighted. ...

Simulate Dynamic Matrix Control with Simupy I wrote some code about the symulation of Dynamic Matirx Control with simupy. SimuPy is a framework for simulating interconnected dynamical system models and provides an open source, python-based tool that can be used in model- and system- based design and simulation workflows. DMC or Dynamic Matrix Control is a typical Model Predictive Control (MPC) method using the prediction of future steps to control the system. It usually applies in process control for its requirement for matrix operation in controller. ...