Everything about Backstepping
Technique in nonlinear control theory
In control theory, backstepping is a technique developed circa 1990 by Petar V. Kokotovic, and others for designing stabilizing controls for a special class of nonlinear dynamical systems. These systems are built from subsystems that radiate out from an irreducible subsystem that can be stabilized using some other method. Because of this recursive structure, the designer can start the design process at the known-stable system and "back out" new controllers that progressively stabilize each outer subsystem. The process terminates when the final external control is reached. Hence, this process is known as backstepping. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: BacksteppingA 5-minute orientation
- Skim a recent paper: Bumpless transfer distributed adaptive backstepping control of nonlinear multi-agent systems with circular filtering under DoS attacksInfluential work since 2022
- Pick up a classic book: Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth NonlinearitiesThe most-reprinted book on the subject
- Read the landmark paper: Command Filtered BacksteppingCited 1,243 times
- Go sideways: Two-dimensional critical Ising modelA closely related topic
- Go sideways: Topological recursionA closely related topic
📖 Definitions
Noun A technique for designing stabilizing controls for a special recursive class of nonlinear dynamical systems.
Noun A gradual backward movement of organisms or a sedimentary environment caused by changes in environmental factors.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Command Filtered Backstepping
Finite-time command filtered backstepping control for a class of nonlinear systems
Command Filtered Adaptive Backstepping
Stochastic nonlinear stabilization — I: A backstepping design
Backstepping boundary control for first-order hyperbolic PDEs and application to systems with actuator and sensor delays
Extended-State-Observer-Based Output Feedback Nonlinear Robust Control of Hydraulic Systems With Backstepping
Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems
🆕 Influential since 2022
Bumpless transfer distributed adaptive backstepping control of nonlinear multi-agent systems with circular filtering under DoS attacks
Finite-Time Adaptive Fuzzy Control for MIMO Nonlinear Systems With Input Saturation via Improved Command-Filtered Backstepping
Optimized Backstepping Consensus Control Using Reinforcement Learning for a Class of Nonlinear Strict-Feedback-Dynamic Multi-Agent Systems
Real‐time implementation of adaptive neural backstepping controller for battery‐less solar‐powered PMDC motor
Adaptive Optimized Backstepping Control-Based RL Algorithm for Stochastic Nonlinear Systems With State Constraints and Its Application
📚 Books worth reading
- 📕Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth NonlinearitiesWang, Wei, Changyun Wen · 2017
Block Backstepping Design of Nonlinear State Feedback Control Law for Underactuated Mechanical SystemsShubhobrata Rudra, Ranjit Kumar Barai · 2016- 📕Traffic Congestion Control by PDE Backsteppinghuan Yu, Miroslav Krstic · 2022
- 📕Backstepping Control of Nonlinear Dynamical SystemsSundarapandian Vaidyanathan, Ahmad Taher Azar · 2020
Control of Higher–Dimensional PDEsThomas Meurer · 2013
Compound Control Methodology for Flight VehiclesYuanqing Xia · 2013
Adaptive backstepping control of uncertain systemsZhou, Jing Ph.D. · 2008- 📕Backstep ForwardF. Thomas Jones · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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