Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems
This paper addresses decentralized tracking control (DTC) problems for input constrained
unknown nonlinear interconnected systems via event-triggered adaptive dynamic …
unknown nonlinear interconnected systems via event-triggered adaptive dynamic …
Analyzing and mimicking the optimized flight physics of soaring birds: A differential geometric control and extremum seeking system approach with real time …
The mystery of soaring birds, such as albatrosses and eagles, has intrigued biologists,
physicists, aeronautical/control engineers, and applied mathematicians for centuries. These …
physicists, aeronautical/control engineers, and applied mathematicians for centuries. These …
Online Data-Driven Control of Networks
K Shenoy, R Pasumarthy… - 2024 European Control …, 2024 - ieeexplore.ieee.org
Analysis and control of network systems largely rely on the availability of the network
topology and the governing dynamics. In some cases, where the network dynamics and …
topology and the governing dynamics. In some cases, where the network dynamics and …
Extremum seeking by multi-agent vehicles and UAVs with no steady state oscillation using a geometric-based Kalman filtering
Extremum Seeking Control (ESC) systems possess the appealing capability of
autonomously driving a dynamical system toward the extremum point of an objective …
autonomously driving a dynamical system toward the extremum point of an objective …
Spreading control in two-layer multiplex networks
R Bernal Jaquez, LA Alarcón Ramos, A Schaum - Entropy, 2020 - mdpi.com
The problem of controlling a spreading process in a two-layer multiplex networks in such a
way that the extinction state becomes a global attractor is addressed. The problem is …
way that the extinction state becomes a global attractor is addressed. The problem is …
Estimation of Sporulated Cell Concentration of Bacillus thuringiensis in a Batch Biochemical Reactor via Simple State Observers
JL Zárate-Castrejón, PA López-Pérez, M López-López… - Mathematics, 2024 - mdpi.com
This paper presents a contrast of two different observation strategies viz a nonlinear
observer and a classical extended Luenberger observer applied to a bioreactor system for …
observer and a classical extended Luenberger observer applied to a bioreactor system for …
Robust output consensus of networked negative imaginary systems via an integral quadratic constraint approach
Q Zhang, L Liu, Y Lu - International Journal of Control, 2023 - Taylor & Francis
This paper deals with the robust output consensus problem of networked homogeneous and
heterogeneous negative imaginary (NI) systems under L 2 external disturbances via the …
heterogeneous negative imaginary (NI) systems under L 2 external disturbances via the …
[PDF][PDF] DYNAMIC MODELING AND CONTROL OF GREEN HOUSE SYSTEM (GHS)
SV Gandhi - 2022 - gtusitecirculars.s3.amazonaws.com
Greenhouse system (GHS) is successfully implemented in most of the regions to provide
suitable climate conditions for the growth and expansion of the plants. The internal …
suitable climate conditions for the growth and expansion of the plants. The internal …
Additive Networks of Chen-Fliess Series: Local Convergence and Relative Degree
WS Gray, LAD Espinosa… - 2021 60th IEEE …, 2021 - ieeexplore.ieee.org
Given an additive network of input-output systems where each node of the network is
modeled by a locally convergent Chen-Fliess series, two basic properties of the network are …
modeled by a locally convergent Chen-Fliess series, two basic properties of the network are …
MRAC-Based Adaptive Feedback Linearization Control Method for Continuous-Time Nonlinear Systems with Uncertain Parameters
B Wen, X Chen, Y Sun - 2022 China Automation Congress …, 2022 - ieeexplore.ieee.org
The feedback linearization method can accurately linearize the nonlinear system. However,
feedback linearization needs the exact dynamic of nonlinear systems, it is difficult to apply to …
feedback linearization needs the exact dynamic of nonlinear systems, it is difficult to apply to …