Article
Automation & Control Systems
Shuai Zhang, Zi-Yun Wang, Yan Wang, Zhi-Cheng Ji
Summary: This study proposes a zonotopic set-valued observer based state estimation algorithm for nonlinear models with unknown but bounded noises. The algorithm wraps the unknown noise term in a zonotope during each recursive step, and uses second-order polynomial Stirling interpolation and a method that combines sequence updating and tightening strips to improve the estimation accuracy and reduce error accumulation.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Automation & Control Systems
Wuquan Li, Miroslav Krstic
Summary: The study presents mean-nonovershooting tracking control designs for stochastic strict-feedback nonlinear systems, with a focus on achieving strict mean-nonovershooting tracking. By designing a new controller, arbitrary reference trajectories can be tracked from below, while maintaining the mean-square boundedness of the system states. The control gains are independent of the initial conditions of system states and derivatives of the reference trajectory, providing a better feature compared to existing research results.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Gennady Yurievich Kulikov, Maria Vyacheslavovna Kulikova
Summary: This article addresses the issue of square-rooting in continuous-discrete Gaussian filters and proposes two MATLAB-based solutions. The main problem is the potential negativity of weights, which prevents the application of orthogonal square-rooting schemes. By using the J$$ J $$-orthogonal square-rooting technique, new algorithms are developed for various continuous-discrete Gaussian filters.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Information Systems
Xin Jin, Yuan-Xin Li
Summary: This article investigates the fuzzy adaptive control design for a class of stochastic nonstrict feedback nonlinear systems, introducing a bounded estimation method, smooth functions, and barrier Lyapunov functions to ensure the controlled system's performance and stability. The proposed asymptotic tracking control scheme shows superior performance in an illustrative simulation instance.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Chunxiao Wang, Zhongcai Zhang, Yuqiang Wu
Summary: This article presents the controller design and stability analysis for stochastic cascade nonlinear systems with external disturbances. A new extended state observer based on the Riccati differential equation is constructed to estimate the unmeasurable system states and the external disturbance. An adaptive output feedback controller is proposed based on stochastic input-to-state stability and backstepping design technique. The designed controller guarantees that all closed-loop system signals are bounded and the original system states are globally asymptotically stable in probability.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Shaoying Wang, Zidong Wang, Hongli Dong, Yun Chen
Summary: This paper investigates the recursive quadratic state estimation problem for a class of stochastic nonlinear systems subject to non-Gaussian noises using energy-harvesting sensors. The original system is transformed into a new nonlinear system that exploits more information about the non-Gaussian noises. A quadratic estimator is designed using a recursive variance-minimization algorithm. The effectiveness of the proposed quadratic estimation algorithm is demonstrated through a simulation example.
Article
Automation & Control Systems
Yuanyuan Sun, Feiqi Deng, Peilin Yu
Summary: This paper investigates the problem of event-triggered control of stochastic nonlinear delayed systems with state quantization. An event-triggered mechanism and state quantization are introduced in the control scheme to reduce the communication burden and computational cost while ensuring the stability of the closed-loop system. Both static and dynamic event-triggered mechanisms are proposed, allowing for the adjustment of parameters and selection of suitable configurations to reduce communication times and enhance resource conservation.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Ruiming Xie, Shengyuan Xu
Summary: This article investigates the adaptive state-feedback control problem of output-constrained stochastic high-order nonlinear systems with stochastic integral input-to-state stability (SiISS) inverse dynamics. Two new control design and analysis methods are proposed based on a key nonlinear transformation function and the use of SiISS small-gain condition. The simulation result demonstrates the effectiveness of this control method in guaranteeing system stability without violating output constraint.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Computer Science, Information Systems
Xinrong Cong, Cheng Zhao
Summary: The classical PID controller is widely used in engineering systems with various uncertainties, but most literature focuses on linear deterministic systems. A recent study shows that PID control can stabilize second-order nonlinear uncertain stochastic systems globally, by constructing a parameter manifold and selecting appropriate PID and observer gain parameters. This approach requires theoretical understanding and specific design methods to achieve stability in nonlinear uncertain systems.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Engineering, Mechanical
Mikael Manngard, Ivar Koene, Wictor Lund, Sampo Haikonen, Fredrik A. Fagerholm, Michal Wilczek, Konrad Mnich, Joni Keski-Rahkonen, Raine Viitala, Jerker Bjoerkqvist, Hannu T. Toivonen
Summary: An augmented Kalman filter for torque estimation in marine propulsion-system drive trains is proposed, which estimates propeller and motor excitations and torque responses based on a dynamical model of the system and inboard shaft measurements. Experimental results demonstrate accurate estimation of torque excitations and torque responses at locations of interest on the engine-propeller drivetrain based on a few indirect measurements at convenient locations on the motor shaft.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Tianliang Zhang, Feiqi Deng, Weihai Zhang
Summary: This paper discusses the H-infinity filtering of general nonlinear discrete time-varying stochastic systems, presenting a sufficient condition for its existence via a newly introduced Hamilton-Jacobi inequality (HJI). The suboptimal H-2/H-infinity filtering under worst-case disturbance is also studied, with three examples demonstrating the effectiveness of the main results.
Article
Computer Science, Artificial Intelligence
Xiyue Guo, Huaguang Zhang, Jiayue Sun, Yu Zhou
Summary: This article proposes a preassigned time adaptive tracking control problem for stochastic multiagent systems with deferred full state constraints and deferred prescribed performance. A modified nonlinear mapping is designed to eliminate the constraints on the initial value conditions and achieve deferred prescribed performance for stochastic MASs that provide only local information.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Xin Wang, Rui Xu, Tingwen Huang, Jurgen Kurths
Summary: This article investigates the event-triggered adaptive containment control problem for a class of stochastic nonlinear multiagent systems with unmeasurable states. A stochastic system with unknown heterogeneous dynamics is established to describe the agents in a random vibration environment. Besides, the uncertain nonlinear dynamics are approximated by radial basis function neural networks (NNs), and the unmeasured states are estimated by constructing the NN-based observer. In addition, the switching-threshold-based event-triggered control method is adopted with the hope of reducing communication consumption and balancing system performance and network constraints. Moreover, we develop the novel distributed containment controller by utilizing the adaptive backstepping control strategy and the dynamic surface control (DSC) approach such that the output of each follower converges to the convex hull spanned by multiple leaders, and all signals of the closed-loop system are cooperatively semi-globally uniformly ultimately bounded in mean square. Finally, we verify the efficiency of the proposed controller by the simulation examples.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Yanru Peng, Shengyuan Xu, Zhengqiang Zhang
Summary: This article proposes a new asymmetric barrier Lyapunov function for adaptive tracking control of stochastic nonlinear systems with asymmetric full state constraints. A state feedback controller is constructed using the backstepping method to ensure bounded signals and the maintenance of the asymmetric state constraint. The design and analysis for constrained and unconstrained systems are unified without changing the controller structure. The effectiveness of the proposed control strategy is demonstrated through simulations.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Pengchao Zhang, Liang Cao, Yingnan Pan, Yang Liu
Summary: This paper investigates a distributed active disturbance rejection containment control problem for stochastic nonlinear multiagent systems under a directed topology. A class of nonlinear extended state observers based on fractional power functions is proposed to compensate unknown stochastic terms and total disturbances in real time. The tracking differentiator is adopted to avoid computational burden caused by repeated differentiation of virtual controllers. A distributed containment control scheme is put forward based on the active disturbance rejection control technique, effectively dealing with unknown nonlinearities and uncertain dynamics. Simulation results verify the effectiveness of the proposed control method.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Arturo Aguilar, Jose de Jesus Rubio, Jesus A. Meda-Campana, Dany Ivan Martinez, Tomas Miguel Vargas, Victor Garcia, Juan Francisco Novoa, Dante Mujica-Vargas, Jaime Pacheco, Guadalupe Juliana Gutierrez
INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS
(2020)
Article
Computer Science, Artificial Intelligence
L. A. Paramo, E. C. Garcia, J. A. Meda, J. de J. Rubio, J. O. Escobedo, R. Tapia, J. O. Hernandez, G. Lopez, J. F. Novoa, A. Aguilar
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2020)
Article
Mathematics, Interdisciplinary Applications
J. Humberto Perez-Cruz, Jacobo Marcos Allende Pena, Christian Nwachioma, Jose de Jesus Rubio, Jaime Pacheco, Jesus Alberto Meda-Campana, David Avila-Gonzalez, Olivia Guevara Galindo, Ignacio Adrian Romero, Salvador Isidro Belmonte Jimenez
Article
Computer Science, Information Systems
Marco Antonio Islas, Jose de Jesus Rubio, Samantha Muniz, Genaro Ochoa, Jaime Pacheco, Jesus Alberto Meda-Campana, Dante Mujica-Vargas, Carlos Aguilar-Ibanez, Guadalupe Juliana Gutierrez, Alejandro Zacarias
Summary: This article introduces a fuzzy logic model for hourly electrical power demand modeling in New England, addressing the challenge of large datasets in plant modeling. The proposed model is designed to be more precise by meeting specific conditions and utilizing a combination of approaches to avoid processing all data points with the descending gradient method.
Article
Chemistry, Multidisciplinary
Dany Ivan Martinez, Jose de Jesus Rubio, Victor Garcia, Tomas Miguel Vargas, Marco Antonio Islas, Jaime Pacheco, Guadalupe Juliana Gutierrez, Jesus Alberto Meda-Campana, Dante Mujica-Vargas, Carlos Aguilar-Ibanez
Summary: The study introduced a new transformed structural properties method that combines linearization and structural properties methods for determining controllability and observability of robots. Compared to previous methods, this approach provides more precise results.
APPLIED SCIENCES-BASEL
(2021)
Article
Mathematics, Interdisciplinary Applications
Jesus Alberto Meda-Campana, Jonathan Omega Escobedo-Alva, Jose de Jesus Rubio, Carlos Aguilar-Ibanez, Jose Humberto Perez-Cruz, Guillermo Obregon-Pulido, Ricardo Tapia-Herrera, Eduardo Orozco, Daniel Andres Cordova, Marco Antonio Islas
Summary: In this note, the problem of tracking random references and rejecting random perturbations in a quadrotor is solved by extending the deterministic tracking problem to stochastic processes. A controller is developed by combining a Kalman filter and an observer to estimate the references, perturbations, and states, which confirms its validity and effectiveness through numerical simulations.
Article
Computer Science, Information Systems
Jose De Jesus Rubio, Eduardo Orozco, Daniel Andres Cordova, Marco Antonio Islas, Jaime Pacheco, Guadalupe Juliana Gutierrez, Alejandro Zacarias, Luis Arturo Soriano, Jesus Alberto Meda-Campana, Dante Mujica-Vargas
Summary: In this study, a modified linear technique is proposed for the controllability and observability of robotic arms. The technique involves transforming a nonlinear model into a quasi-linear model, evaluating it at the origin, and testing its controllability and observability using rank condition. The modified linear technique is superior to both the traditional linear technique and linearization technique, as it can be applied to robotic arms with different types of joints.
Article
Mathematics
Luis Arturo Soriano, Jose de Jesus Rubio, Eduardo Orozco, Daniel Andres Cordova, Genaro Ochoa, Ricardo Balcazar, David Ricardo Cruz, Jesus Alberto Meda-Campana, Alejandro Zacarias, Guadalupe Juliana Gutierrez
Summary: Sliding mode control is a robust technique for addressing difficulties in robot position-tracking, but concerns arise over the controller gains potentially generating excessive forces. By optimizing the gains of the sliding mode controller, this study successfully achieved energy savings in the position-tracking problem.
Review
Engineering, Mechanical
Hector Vargas, Jesus A. Meda, Alexander Poznyak
Summary: In this paper, a new robust controller is developed for an autonomous vehicle with nonholonomic dynamics to avoid collisions with obstacles. The controller is based on the integral sliding mode concept to minimize a convex function. The effectiveness of the proposed strategy is demonstrated through numerical examples.
NONLINEAR DYNAMICS
(2022)
Article
Computer Science, Artificial Intelligence
Jesus Alberto Meda-Campana, Roman A. Rodriguez-Manzanarez, S. Denisse Ontiveros-Paredes, Jose de Jesus Rubio, Ricardo Tapia-Herrera, Tonatiuh Hernandez-Cortes, Guillermo Obregon-Pulido, Carlos Aguilar-Ibanez
Summary: Based on the state-space representation, Takagi-Sugeno fuzzy modeling, and controllability of fuzzy systems, this article proposes an algebraic and practical approach to compute the fuzzy gain for ensuring the stability of the Takagi-Sugeno fuzzy model. The approach involves finding a continuous fuzzy gain that induces a desired linear behavior in the closed-loop system, thereby stabilizing the nonlinear system.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Thermodynamics
Hilario Martines-Arano, Samara Palacios-Barreto, Juan Castillo-Cruz, Jesus Alberto Meda-Campana, Blanca Estela Garcia-Perez, Carlos Torres-Torres
Summary: This study experimentally controlled the modification in thermal transfer mechanisms induced by light in human lung epithelial cancer cells using chaotic attractors dependent on optical transmittance. The evolution of a chaotic modulation driven by optical signals was studied in cells integrated in monolayer form, and photodamage in the samples was identified by measuring transmitted light modulated by the Chen equations. Comparative experiments revealed the crucial role of multi-photonic processes in the resulting photothermal phenomena.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2022)
Article
Mathematics
Carlos Aguilar-Ibanez, Ivan J. Salgado Ramos, Miguel S. Suarez-Castanon, Jose de Jesus Rubio, Jesus A. Meda-Campana
Summary: This paper presents the double chain-integrator finite-time convergence in a closed loop with a second-order bang-bang sliding control. The direct Lyapunov method carried out the stability analysis and the reaching time estimation using a suitable non-smooth strong Lyapunov function. Numerical comparisons were performed to assess the proposed strategy's effectiveness.
Article
Computer Science, Information Systems
Tonatiuh Hernandez-Cortes, Miguel Amador-Macias, Ricardo Tapia-Herrera, Jesus Alberto Meda-Campana
Summary: This paper focuses on solving the output regulation problem using the new Francis equations for arbitrary reference/disturbance signals. The model is obtained by High-Gain observers, allowing regulation of unmodeled but measurable reference signals. The design involves fixing a globally attractive steady state using LMIs to control the decay rate within input bounds, while the regulation problem is solved by computing the steady-state input based on a modified set of regulation equations. The proposed approach is illustrated using the Furuta pendulum.
Article
Automation & Control Systems
Jesus Alberto Meda-Campana, Ricardo Ismael Ancona-Bravo, Jonathan Omega Escobedo-Alva, Tonatiuh Hernandez-Cortes, Ricardo Tapia-Herrera
Summary: Based on the regulation theory and high-gain observers, this paper designs a controller to track and/or reject unmodeled but measurable signals. It proves that the missing dynamical models for such signals can be estimated by high-gain observers of dimensions equal to or greater than one, and embeds these observers into an auxiliary system known as the exosystem. The proposed controller is robust and able to track/reject any bounded and smooth signal as long as the estimations of the high-gain observers are accurate enough.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Proceedings Paper
Automation & Control Systems
Jesus A. Meda-Campana
Summary: This work proposes a method to patch continuous-time signals using high-gain observers and third-order splines to address the issue of signal loss or distortion in real-time applications. By taking into account the starting and ending points as well as their derivatives, a smooth signal is obtained. Numerical experiments successfully reconstruct a sufficiently complex signal, demonstrating the validity of the approach.
2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021)
(2021)
