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Variable structure control of nonlinear multivariable systems: a tutorial
RA DeCarlo, SH Zak, GP Matthews - Proceedings of the IEEE, 1988 - ieeexplore.ieee.org
The design of variable-structure control (VSC) systems for a class of multivariable, nonlinear,
time-varying systems is presented. Using the Utkin-Drazenovic method of equivalent control …
time-varying systems is presented. Using the Utkin-Drazenovic method of equivalent control …
Nonlinear and robust control of PDE systems: Methods and applications to transport-reaction processes
PD Christofides, J Chow - Appl. Mech. Rev., 2002 - asmedigitalcollection.asme.org
The author attempts to portray the ideas and general principles of the theory of materials
within the framework of phenomenological continuum mechanics. It is a well-written rigorous …
within the framework of phenomenological continuum mechanics. It is a well-written rigorous …
Safe reinforcement learning with stability guarantee for motion planning of autonomous vehicles
Reinforcement learning with safety constraints is promising for autonomous vehicles, of
which various failures may result in disastrous losses. In general, a safe policy is trained by …
which various failures may result in disastrous losses. In general, a safe policy is trained by …
Adaptive critic nonlinear robust control: A survey
Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each
other when performing intelligent optimization. They are both regarded as promising …
other when performing intelligent optimization. They are both regarded as promising …
An observer-based fuzzy adaptive consensus control method for nonlinear multiagent systems
Y Li, K Li, S Tong - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
This article investigates the problem of fuzzy adaptive consensus tracking control for
nonlinear multiagent systems with unknown nonlinear control gain functions. In the control …
nonlinear multiagent systems with unknown nonlinear control gain functions. In the control …
[KNYGA][B] Cooperative control of multi-agent systems: a consensus region approach
Z Li, Z Duan - 2017 - books.google.com
Distributed controller design is generally a challenging task, especially for multi-agent
systems with complex dynamics, due to the interconnected effect of the agent dynamics, the …
systems with complex dynamics, due to the interconnected effect of the agent dynamics, the …
Sliding mode control for mismatched uncertain systems using an extended disturbance observer
This paper extends a recent result on sliding mode control for general n th order systems
with mismatched uncertainties. In this paper, a control is proposed to handle a larger class of …
with mismatched uncertainties. In this paper, a control is proposed to handle a larger class of …
Reinforcement-learning-based robust controller design for continuous-time uncertain nonlinear systems subject to input constraints
The design of stabilizing controller for uncertain nonlinear systems with control constraints is
a challenging problem. The constrained-input coupled with the inability to identify accurately …
a challenging problem. The constrained-input coupled with the inability to identify accurately …
Safe deep reinforcement learning-based adaptive control for USV interception mission
This paper aims to develop a safe learning scheme of the USV interception mission. A safe
Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for …
Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for …
Dynamic surface control for a class of nonlinear systems
D Swaroop, JK Hedrick, PP Yip… - IEEE transactions on …, 2000 - ieeexplore.ieee.org
A method is proposed for designing controllers with arbitrarily small tracking error for
uncertain, mismatched nonlinear systems in the strict feedback form. This method is another" …
uncertain, mismatched nonlinear systems in the strict feedback form. This method is another" …