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Relevant bibliographies by topics / Constraint nonlinear systems

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Academic literature on the topic 'Constraint nonlinear systems'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Constraint nonlinear systems"

1

BOJOWALD, MARTIN, and THOMAS STROBL. "POISSON GEOMETRY IN CONSTRAINED SYSTEMS." Reviews in Mathematical Physics 15, no. 07 (2003): 663–703. http://dx.doi.org/10.1142/s0129055x0300176x.

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Associated to a constrained system with closed constraint algebra there are two Poisson manifolds P and Q forming a symplectic dual pair with respect to the original, unconstrained phase space: P is the image of the constraint map (equipped with the algebra of constraints) and Q the Poisson quotient with respect to the orbits generated by the constraints (the orbit space is assumed to be a manifold). We provide sufficient conditions so that the reduced phase space of the constrained system may be identified with a symplectic leaf of Q. By these methods, a second class constrained system with c

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Li, Yankai, Yulong Huang, Han Liu, and Dongping Li. "Full State Constrained Flight Tracking Control for Helicopter Systems with Disturbances." Aerospace 10, no. 5 (2023): 471. http://dx.doi.org/10.3390/aerospace10050471.

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In this paper, a full state-constrained anti-disturbance dynamic surface control method is proposed for six-degree-of-freedom unmanned helicopter systems under full state constraints and disturbances. Firstly, due to the underactuated characteristics of six-degree-of-freedom unmanned helicopter systems, an input–output feedback linearization method is used to transform the complex nonlinear systems into facilitated-control nonlinear ones. Based on the transformed systems, the nonlinear disturbance-observer-based control, backstepping control and Barrier Lyapunov function methods are used to co

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Zhang, Man, Ru Chang, and Ying Wang. "Prescribed Performance Tracking Control for Nonlinear Stochastic Time-Delay Systems with Multiple Constraints." Actuators 14, no. 1 (2025): 19. https://doi.org/10.3390/act14010019.

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This paper proposes a prescribed performance tracking control scheme for a category of nonlinear stochastic time-delay systems with input saturation and state asymmetric time-varying constraints. First, to solve the non-differentiable problem caused by input saturation, a smooth nonlinear function was utilized to approximate the saturation function. A nonlinear mapping technique was employed to transform the constrained problem into a bounded convergence problem. The time-delay problem was then solved by constructing the corresponding Lyapunov–Krasovskii function. The error feedback controller

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Chen, Y. H., and C. Y. Kuo. "Positive Uncertain Systems With One-Sided Robust Control." Journal of Dynamic Systems, Measurement, and Control 119, no. 4 (1997): 675–84. http://dx.doi.org/10.1115/1.2802377.

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We consider a control design problem for a class of uncertain systems. The salient features of the problem are fourfold. First, the uncertainty is time-varying. Second, the system is nonlinear. Third, the state is constrained to be only positive. Fourth, the control input may be constrained to be one-sided (i.e., either positive or negative). We start with a state transformation to release the state constraint. A partial sign-definiteness knowledge of the uncertainty is then shown to be critical to meet the control constraint. Three classes of controls are constructed: one for state constraint

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WEN, Zhidong, and Shilei TAN. "Neuroadaptive tracking control of uncertain nonlinear systems with spatiotemporal constraints." Proceedings of the Romanian Academy, Series A: Mathematics, Physics, Technical Sciences, Information Science 24, no. 3 (2023): 283–94. http://dx.doi.org/10.59277/pra-ser.a.24.3.10.

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This study investigates the neuroadaptive tracking control problem for a class of strict-feedback nonlinear systems with spatiotemporal constraints. An adaptive neural network-based control system is developed to alleviate the effects of modeling uncertainties and external disturbances. In particular, the proposed method ensures that the system tracking error has a predefined performance boundary (spatial constraint). Moreover, using a novel time-scale transformation method, uncertain nonlinear systems can achieve a prescribed finite-time convergence to a time-varying scaling function in the p

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Zhi, Lu, and Jinxia Wu. "Adaptive constraint control for nonlinear multi-agent systems with undirected graphs." AIMS Mathematics 6, no. 11 (2021): 12051–64. http://dx.doi.org/10.3934/math.2021698.

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<abstract><p>This paper investigates the problem of adaptive distributed consensus control for stochastic multi-agent systems (MASs) with full state constraints. By utilizing adaptive backstepping control technique and barrier Lyapunov function (BLF), an adaptive distributed consensus constraint control method is proposed. The developed control method can ensure that all signals of the controlled system are semi-globally uniformly ultimately bounded (SGUUB) in probability, and outputs of the follower agents keep consensus with the output of leader. In addition, system states are no

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Boscariol, P., and A. Gasparetto. "Optimal trajectory planning for nonlinear systems: robust and constrained solution." Robotica 34, no. 6 (2014): 1243–59. http://dx.doi.org/10.1017/s0263574714002239.

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SUMMARYThis paper presents a solution to the problem of generating constrained robust trajectory planning for nonlinear mechatronic systems. By using an indirect variational solution method, the necessary optimality conditions deriving from the Pontryagin's minimum principle are imposed, and lead to a differential Two-Point Boundary Value Problem (TPBVP); numerical solution of the latter is accomplished by means of collocation techniques. The robustness to parametric mismatches is obtained trough the use of sensitivity functions, while a hard constraint on actuator effort is obtained using a s

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Bi, Shuhui, Lei Wang, and Chunyan Han. "Robust Control of Nonlinear System with Input and Output Nonlinear Constraints." Journal of Robotics and Mechatronics 29, no. 6 (2017): 1073–81. http://dx.doi.org/10.20965/jrm.2017.p1073.

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With the development of modern technology, actuators and sensors composed of smart materials, such as piezoceramic and magnetostrictive materials, have been widely used in practice owing to their various advantages. However, in the working process of a smart material based actuator and sensor, non-smooth nonlinear constraints in their output responses may induce inaccuracies and oscillations, which severely degrade system performance. Therefore, input and output nonlinear constraints brought about by actuators and sensors should be considered. Generally, the output nonlinear constraint, namely

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Limon, Daniel, Antonio Ferramosca, Ignacio Alvarado, and Teodoro Alamo. "Nonlinear MPC for Tracking Piece-Wise Constant Reference Signals." IEEE Transactions on Automatic Control 63 (February 3, 2024): 3735–50. https://doi.org/10.1109/TAC.2018.2798803.

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This paper presents a novel tracking predictive controller for constrained nonlinear systems capable to deal with sudden and large variations of a piece-wise constant setpoint signal. The uncertain nature of the setpoint may lead to stability and feasibility issues if a regulation predictive controller based on the stabilizing terminal constraint is used. The tracking model predictive controller presented in this paper extends the MPC for tracking for constrained linear systems to the more complex case of constrained nonlinear systems. The key idea is the addition of an artificial reference as

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Moodi, Hoda, and Mohammad Farrokhi. "Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent." International Journal of Applied Mathematics and Computer Science 23, no. 4 (2013): 711–23. http://dx.doi.org/10.2478/amcs-2013-0053.

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Abstract This paper is concerned with observer design for nonlinear systems that are modeled by T-S fuzzy systems containing parametric and nonparametric uncertainties. Unlike most Sugeno models, the proposed method contains nonlinear functions in the consequent part of the fuzzy IF-THEN rules. This will allow modeling a wider class of systems with smaller modeling errors. The consequent part of each rule contains a linear part plus a nonlinear term, which has an incremental quadratic constraint. This constraint relaxes the conservativeness introduced by other regular constraints for nonlinear

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Dissertations / Theses on the topic "Constraint nonlinear systems"

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Käpernick, Bartosz [Verfasser]. "Gradient-based nonlinear model predictive control with constraint transformation for fast dynamical systems / Bartosz Käpernick." Ulm : Universität Ulm, 2016. http://d-nb.info/1166756491/34.

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Käpernick, Bartosz Maciej [Verfasser]. "Gradient-based nonlinear model predictive control with constraint transformation for fast dynamical systems / Bartosz Käpernick." Ulm : Universität Ulm, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-8522-4.

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Davies, Christopher Michael. "Study on the dynamic response of a printed circuit board focusing on constraint clearances." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1213368683.

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Loxton, Ryan Christopher. "Optimal control problems involving constrained, switched, and delay systems." Thesis, Curtin University, 2010. http://hdl.handle.net/20.500.11937/1479.

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In this thesis, we develop numerical methods for solving five nonstandard optimal control problems. The main idea of each method is to reformulate the optimal control problem as, or approximate it by, a nonlinear programming problem. The decision variables in this nonlinear programming problem influence its cost function (and constraints, if it has any) implicitly through the dynamic system. Hence, deriving the gradient of the cost and the constraint functions is a difficult task. A major focus of this thesis is on developing methods for computing these gradients. These methods can then be use

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Nevistić, Vesna. "Constrained control of nonlinear systems." Online version, 1997. http://bibpurl.oclc.org/web/26200.

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Zhu, Yongjie. "Constrained nonlinear model predictive control for vehicle regulation." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1222177849.

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Boccia, Andrea. "Optimization based control of nonlinear constrained systems." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24700.

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This thesis is in the field of Optimal Control. It addresses research questions concerning both the properties of optimal controls and also schemes for control system stabilization based on the solution of optimal control problems. The first part is concerned with the derivation of necessary conditions of optimality for two classes of optimal control problems not covered by earlier theory. The first is the class of optimal control problems with a combination of mixed control-state constraints and pure state constraints in which the dynamics are described by a differential inclusion under weake

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Kandil, Ahmed Hisham. "Nonlinear control problems with state and input constraints." Case Western Reserve University School of Graduate Studies / OhioLINK, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=case1055435132.

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Klug, Andreas. "Affine-scaling methods for nonlinear minimization problems and nonlinear systems of equations with bound constraints." Doctoral thesis, [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=981743978.

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Tandale, Monish Deepak. "Adaptive dynamic inversion of nonlinear systems subjected to control saturation constraints." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5994.

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The adaptive dynamic inversion control methodology uses dynamic inversion to calculate the control, and adaptation to compensate for the errors in the inversion due to model uncertainties. Traditionally, adaptive control assumes full authority control and lacks an adequate theoretical treatment for control in the presence of actuator saturation limits. The objective of this research is to investigate the problems introduced in the adaptive dynamic inversion control scheme due to bounds on the control, and design control strategies to overcome these problems. The unique contribution of this res

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Books on the topic "Constraint nonlinear systems"

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Ren, Hongru, Hui Ma, Qi Zhou, and Renquan Lu. Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0320-6.

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Blondin, Maude Josée. Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64541-0.

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Christofides, Panagiotis D. Control of nonlinear and hybrid process systems: Designs for uncertainty, constraints and time-delays. Springer, 2005.

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Christofides, Panagiotis D. Control of nonlinear and hybrid process systems: Designs for uncertainty, constraints and time-delays. Springer, 2005.

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Pshenichnyj, Boris N. The Linearization Method for Constrained Optimization. Springer Berlin Heidelberg, 1994.

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H, El-Farra Nael, ed. Control of nonlinear and hybrid process systems: Designs for uncertainty, constraints and time-delays. Springer, 2005.

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Kubica, Bartłomiej Jacek. Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems: From Inequalities Systems to Game Solutions. Springer, 2019.

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Kubica, Bartłomiej Jacek. Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems: From Inequalities Systems to Game Solutions. Springer, 2020.

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9

Gunthorpe, Eustace. Constrained estimation in nonlinear systems. 1985.

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Nevistić, Vesna. Constrained control of nonlinear systems. 1997.

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Book chapters on the topic "Constraint nonlinear systems"

1

Denimal, E., R. Chevalier, L. Renson, and L. Salles. "Shape Optimisation for Friction Dampers with Stress Constraint." In Nonlinear Structures & Systems, Volume 1. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04086-3_10.

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Walster, G. William, and Eldon R. Hansen. "Computing Interval Parameter Bounds from Fallible Measurements Using Overdetermined (Tall) Systems of Nonlinear Equations." In Global Optimization and Constraint Satisfaction. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39901-8_13.

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Ceberio, Martine, and Laurent Granvilliers. "Solving Nonlinear Systems by Constraint Inversion and Interval Arithmetic." In Artificial Intelligence and Symbolic Computation. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44990-6_10.

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Mukaidani, Hiroaki, and Hua Xu. "Closed-Loop Nash Games for Interconnected Positive Nonlinear Systems with $$H_\infty $$H∞ Constraint." In Positive Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04327-8_17.

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Shiu, Y. C., J. S. H. Tsai, S. M. Guo, L. S. Shieh, and Z. Han. "Fault-Tolerant Tracker for Interconnected Large-Scale Nonlinear Systems with Input Constraint." In Chaos and Complex Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33914-1_4.

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Yoong, Carlos, and Mathias Legrand. "Nonsmooth Modal Analysis of a Non-internally Resonant Finite Bar Subject to a Unilateral Contact Constraint." In Nonlinear Structures and Systems, Volume 1. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12391-8_1.

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Dokhaei, Bahareh, Dikshant Saini, Behrouz Shafei, and Alice Alipour. "Design Optimization to Minimize Material Usage in Steel Buildings Subjected to Lateral Loads." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69626-8_127.

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AbstractThis chapter presents a comprehensive approach to optimizing steel usage for reducing the environmental impact of building structures, aligned with sustainable development goals. The study focuses on developing the structural design of members with optimization methods to reduce steel usage, leading to lightweight structural systems while minimizing carbon footprints in the built environment. This study identifies optimum cross-sectional dimensions of structural sections to withstand lateral wind loads. For that purpose, a nonlinear programming solver is used. This solver is robust in

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Kubica, Bartłomiej Jacek. "Solving Equations and Inequalities Systems Using Interval B&Bt Methods." In Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13795-3_5.

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Mahmoud, Magdi S. "Decentralized Control of Nonlinear Systems I." In Decentralized Systems with Design Constraints. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-290-2_2.

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Mahmoud, Magdi S. "Decentralized Control of Nonlinear Systems II." In Decentralized Systems with Design Constraints. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-290-2_3.

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Conference papers on the topic "Constraint nonlinear systems"

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Markolf, Lukas, and Olaf Stursberg. "Tailored Transformations for Constraint Satisfaction in Learning of Parametric Controllers for Nonlinear Systems." In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2024. http://dx.doi.org/10.1109/codit62066.2024.10708485.

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Liu, Jia, Yujie Chen, and Bin Liu. "Finite-Time Adaptive Event-Triggered Control for Stochastic Nonlinear Systems with Output Constraint and Input Saturation." In 2024 6th International Conference on Industrial Artificial Intelligence (IAI). IEEE, 2024. http://dx.doi.org/10.1109/iai63275.2024.10730056.

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Sun, Yue-Heng, Le Liu, Nuan Shao, Ying-Hao Xie, and Yi-Ming Fang. "Fault estimator-based dynamic surface backstepping fault-tolerant control for a class of nonlinear systems with output constraint." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10661975.

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Brake, M. R., and D. J. Segalman. "A New Approach to Modeling Discrete Nonlinear Constraints in Continuous Systems: The Method of Discontinuous Basis Functions." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47181.

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Solutions for analytical models of systems with nonlinear constraints have focused on exact methods for satisfying the constraint conditions. Exact methods often require that the constraint can be expressed in a piecewise-linear manner, and result in a series of mapping equations from one linear regime of the constraint to the next. Due to the complexity of these methods, exact methods are often limited to analyzing a small number of constraints for practical reasons. This paper proposes a new method for analyzing continuous systems with arbitrary nonlinear constraints by approximately satisfy

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Burger, Mathias, and Martin Guay. "Robust constraint satisfaction for continuous-time nonlinear systems." In 2008 47th IEEE Conference on Decision and Control. IEEE, 2008. http://dx.doi.org/10.1109/cdc.2008.4739309.

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Kfoury, Giscard A., and Nabil G. Chalhoub. "Nonlinear Observers for Constrained Systems." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2574.

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Three procedures for designing robust observers to estimate the state variables of nonlinear constrained systems have been developed in this work. All observers are based on the sliding mode methodology and assume that the number of transducers matches that of the degrees of freedom of the system. The conceptual differences between the proposed observer designs are in the number and selection of the sliding surfaces along with the formulations pertaining to their nominal models. The observers have been applied to estimate the state variables of a crank-slider mechanism of a single cylinder eng

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Konstantopoulos, George C., and Pablo R. Baldivieso-Monasterios. "Nonlinear PI controller for systems with state constraint requirements." In 2019 18th European Control Conference (ECC). IEEE, 2019. http://dx.doi.org/10.23919/ecc.2019.8795786.

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Abel, Imoleayo, Mrdjan Janković, and Miroslav Krstić. "Constrained Control of Input Delayed Systems With Partially Compensated Input Delays." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3271.

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Abstract Control Barrier Functions (CBFs) have become popular for enforcing — via barrier constraints — the safe operation of nonlinear systems within an admissible set. For systems with input delay(s) of the same length, constrained control has been achieved by combining a CBF for the delay free system with a state predictor that compensates the single input delay. Recently, this approach was extended to multi input systems with input delays of different lengths. One limitation of this extension is that barrier constraint adherence can only be guaranteed after the longest input delay has been

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Santos, Tito L. M., Angelo D. Bonzanini, Tor Aksel N. Heirung, and Ali Mesbah. "A Constraint-Tightening Approach to Nonlinear Model Predictive Control with Chance Constraints for Stochastic Systems." In 2019 American Control Conference (ACC). IEEE, 2019. http://dx.doi.org/10.23919/acc.2019.8814623.

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Liu, Lei, and Yan-Jun Liu. "Adaptive Event-Triggered Control for Nonlinear Systems with Output Constraint." In 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2018. http://dx.doi.org/10.1109/ddcls.2018.8516100.

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Reports on the topic "Constraint nonlinear systems"

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Parikh, Jo A., and Anne Werkheiser. Incorporating Geometric Constraints into Rule-Based Systems Using Nonlinear Optimization. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada275093.

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Missoum, Samy. Computational Design Optimization Under Uncertainty of Systems with Nonlinear Aeroelastic Constraints. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada582315.

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Armero, Francisco. Numerical Analysis of Constrained Dynamical Systems, with Applications to Dynamic Contact of Solids, Nonlinear Elastodynamics and Fluid-Structure Interactions. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada387568.

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Shani, Uri, Lynn Dudley, Alon Ben-Gal, Menachem Moshelion, and Yajun Wu. Root Conductance, Root-soil Interface Water Potential, Water and Ion Channel Function, and Tissue Expression Profile as Affected by Environmental Conditions. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7592119.bard.

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Constraints on water resources and the environment necessitate more efficient use of water. The key to efficient management is an understanding of the physical and physiological processes occurring in the soil-root hydraulic continuum.While both soil and plant leaf water potentials are well understood, modeled and measured, the root-soil interface where actual uptake processes occur has not been sufficiently studied. The water potential at the root-soil interface (yᵣₒₒₜ), determined by environmental conditions and by soil and plant hydraulic properties, serves as a boundary value in soil and p

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