Article
Automation & Control Systems
Ming Xiao, Zhitao Liu, Hongye Su
Summary: This paper studies the event-triggered consensus control problem for high-order uncertain nonlinear multi-agent systems with actuator saturation. By using a smooth Lipschitz function and an augmented system to approximate and handle the saturation nonlinearity, the paper proposes two event-triggered mechanisms to save communication resources and reduce controller updates. The requirement for global communication topology is relaxed by introducing estimators, and the unknown disturbances are tackled by solving a robust problem. The proposed methods are validated through simulation results.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Farshad Merrikh-Bayat, Mehdi Afshar
Summary: The proposed method effectively controls input-affine nonlinear systems by transforming the nonlinear control problem into linear programming, making it suitable for multi-input multi-output systems with simplicity, robustness, and consideration of constraints on controls and states. The effectiveness of the method is verified through two numerical examples.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Mathematics, Applied
Le Wang, Wei Sun, Shun-Feng Su
Summary: In this study, an adaptive asymptotic tracking control scheme is proposed for strict-feedback nonlinear systems with state constraints and input saturation. The scheme ensures that system states do not violate the given constraints and the tracking error converges to zero asymptotically.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Automation & Control Systems
Hao Yang, Hailong Pei, Jian Cen
Summary: This article proposes a feasible method for achieving performance recovery in a class of nonaffine-in-control nonlinear systems under input saturation. By constructing fast and intermediate subsystems to compensate for the influence of input saturation and combining existing control methods, the desired transient performance can be achieved.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Yize Mi, Jianyong Yao
Summary: This article addresses the tracking control problem of a class of control-affine nonlinear systems subject to input saturation, parametric uncertainties, and unmodeled uncertainties. A nested-saturation-function-based controller integrated with feedforward model compensation is proposed. A saturated linear extended state observer (SLESO) and parameter adaptation law are used to compensate for unmodeled uncertainties and parametric uncertainties respectively. The proposed scheme guarantees steady-state tracking performance through uncertainty compensation and effectively addresses the conservativeness issue in the input saturation problem by online-updating the available unsaturated region, improving transient performance. The proposed scheme ensures asymptotic stability under constant unmodeled uncertainties and ultimate boundedness under time-varying unmodeled uncertainties. Simulation studies are presented to demonstrate the effectiveness of the proposed approach.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Hanfeng Li, Xianfu Zhang, Gang Feng
Summary: This article addresses the event-triggered output feedback control problem for switched nonlinear strict-feedback systems under asymmetric input saturation, proposing a new design procedure based on a reduced-order observer to construct an output feedback controller. By using hyperbolic tangent function and indicator function, the scheme ensures global boundedness of signals and convergence of output to a small region around the origin, without employing the conventional backstepping method. The effectiveness of the proposed control scheme is demonstrated using a continuous stirred tank reactor.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Hongyun Yue, Shaofang Feng, Junmin Li
Summary: This paper studies the event-triggered adaptive control problem for strictly-feedback stochastic nonlinear systems. It addresses the output dead zone and time-varying full-state constraints in the controller. Time-varying barrier Lyapunov functions (TVBLFs) are introduced to handle the time-varying state constraints, and the Nussbaum-type function compensates for the influence of the output dead zone. A new relative threshold of the event-triggered control (ETC) scheme is considered to save communication resources and avoid Zeno behavior. The adaptive tracking controller with the backstepping technique is designed to ensure bounded signals and convergence of tracking error to a small residual set of the origin. Simulation examples demonstrate the effectiveness of the control method.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Valiollah Ghaffari
Summary: A novel delay-dependent CNF control method is proposed for non-linear time-delay systems under actuator saturation. The controller parameters are obtained using LMI approach, transforming control synthesis into an optimization problem. Numerical results demonstrate the effectiveness of the proposed CNF control approach in comparison to other methods.
IET CONTROL THEORY AND APPLICATIONS
(2021)
Article
Engineering, Mechanical
Nassira Zerari, Mohamed Chemachema
Summary: An event-triggered neural-networks adaptive output-feedback control approach is proposed for a class of input-saturated strict-feedback nonlinear systems with external disturbance, which effectively handles system input saturation without complexity explosion. By introducing alternative state variables and implementing a low-pass filter, the cascading structure issue is avoided, and the controller synthesis becomes simpler. An observer is utilized to estimate unknown states, and NNs are used to approximate unknown functions, with only two adaptive parameters required for control design.
NONLINEAR DYNAMICS
(2021)
Article
Automation & Control Systems
Zhiyu Duan, Lingyu Kong, Debao Fan, Xianfu Zhang
Summary: This paper investigates the adaptive tracking control problem of uncertain large-scale nonlinear time-delay systems with input saturation. The dynamic gain control technique is used to simplify design process and form of controller. By introducing full-order state observer and three dynamic equations, an output feedback tracking control scheme is constructed to ensure globally uniformly ultimately bounded closed-loop system signals. The tracking error can converge to a small neighbourhood around the origin by selecting appropriate parameters.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Xinyi Lu, Fang Wang, Zhi Liu, L. Philip Chen
Summary: The objective of this article is to propose an adaptive neural inverse optimal consensus tracking control for nonlinear multi-agent systems (MASs) with unmeasurable states. A new observer is created to approximate the unknown state, which includes the outputs of other agents and their estimated information. The proposed scheme not only insures that all signals of the system are cooperatively semiglobally uniformly ultimately bounded (CSUUB), but also realizes optimal control of all signals.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Qingtan Meng, Qian Ma
Summary: This article studies the problem of output feedback control for a class of stochastic nonlinear systems in the presence of nondifferentiable measurement function and input saturation. A novel power-auxiliary system is introduced to handle the adverse effects of input saturation, and the common growth assumptions of nonlinear terms can be eliminated by a key lemma. An output feedback controller is then constructed to ensure that all the signals in the closed-loop system are globally bounded almost surely. Finally, a simulation demonstrates the effectiveness of the control strategy.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Hao Yang, Hailong Pei
Summary: A redesigned approximate dynamic inversion (RADI) method is proposed in this paper for a class of pure-feedback nonaffine-in-control nonlinear systems. The method introduces input saturation and an intermediate subsystem to compensate the influence of perturbation, ensuring the exponential stability of the overall closed-loop system. Numerical examples demonstrate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF CONTROL
(2021)
Article
Acoustics
Majid Shahbazzadeh, Homa Salehifar, S. Jalil Sadati
Summary: This study investigates the problem of optimal guaranteed cost control for nonlinear systems under input saturation. The goal is to design a dynamic output feedback controller that ensures asymptotic stability of the closed-loop system and minimizes the upper bound of the cost function. The designed controller also guarantees that the control signals stay within their permissible range. The paper formulates the problem as an optimization problem with bilinear matrix inequality constraints, which are converted into linear matrix inequality conditions using technical lemmas. Simulation results demonstrate the effectiveness and advantages of the proposed theoretical results.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Zhen-Hua Zhu, Zhi-Hong Guan, Bin Hu, Ding-Xue Zhang, Xin-Ming Cheng, Tao Li
Summary: This paper investigates bipartite consensus tracking for linear singular multi agent systems under a signed graph topology, developing static state feedback and dynamic observer-based output feedback control protocols. The theoretical results are validated through a numerical example.
Article
Automation & Control Systems
Wenjie Cao, Fuke Wu, Minyu Wu
Summary: This paper focuses on the stability of stochastic hybrid systems with random delay driven by a singularly perturbed Markov chain. The limit system is obtained using weak convergence and the martingale method. By utilizing the limit system as a bridge, the moment exponential stability of the original system is established using Razumikhin-type techniques. An example is provided to illustrate the obtained result.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Vincenzo Basco
Summary: This paper discusses distributed optimization techniques in multi-agent systems with time-varying communication networks and proposes a novel approach that leverages group actions and probabilistic selection of initial states to solve real-world optimization problems in decentralized environments.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Jennifer Przybilla, Igor Pontes Duff, Peter Benner
Summary: This paper considers the problem of finding surrogate models for large-scale second-order linear time-invariant systems with inhomogeneous initial conditions. Two methodologies are proposed: reducing each component independently and extracting dominant subspaces from Gramians. The error bounds for the overall output approximation are also discussed.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Shubham Singh, Anoop Jain
Summary: This paper proposes a distributed control design methodology to stabilize a desired formation shape in a multi-agent system while incorporating collision avoidance and connectivity preservation simultaneously. Time-varying constraints are applied to handle collision avoidance and connectivity preservation, and the concept of asymmetric time-varying barrier Lyapunov function is exploited to derive the stabilizing distributed control law.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Han Zhang, Axel Ringh
Summary: Inverse Optimal Control (IOC) is a powerful framework for learning behavior from expert observations. In this study, we focused on identifying the cost and feedback law from observed trajectories. We proved that identifying the cost is generally an ill-posed problem, but we constructed an estimator for the cost function and showed that it provides a statistically consistent estimate for the true underlying control gain. The constructed estimator is based on convex optimization and exhibits statistical consistency in practice.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Ky Quan Tran, Pham Huu Anh Ngoc
Summary: This paper investigates the exponential contraction in mean square of general functional differential equations with Markovian switching. Explicit criteria for such contraction are derived through a novel approach. An illustrative example is provided.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Jiangyan Pu, Qi Zhang
Summary: This paper examines the continuous time intertemporal consumption and portfolio choice problems of an investor in a generalized stochastic differential utility preference of Epstein-Zin type with subjective beliefs and ambiguity. The paper provides closed-form optimal consumption and portfolio solutions with subjective beliefs and numerical solutions with ambiguity for the Heston model in an incomplete market.
SYSTEMS & CONTROL LETTERS
(2024)