Stabilization and Regulation of Nonlinear Systems A Robust and Adaptive Approach. Zhiyong Chen
- Author: Zhiyong Chen
- Published Date: 30 Sep 2014
- Publisher: Springer
- Language: none
- Format: Paperback::378 pages
- ISBN10: 3319088351
- File size: 21 Mb
- File Name: Stabilization and Regulation of Nonlinear Systems A Robust and Adaptive Approach.pdf
- Dimension: 156x 234x 20mm::530g
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Stabilization and Regulation of Nonlinear Systems A Robust and Adaptive Approach ebook. Stabilization and Regulation of Nonlinear Systems: A Robust and Adaptive Approach (Advanced Textbooks in Control and Signal Processing) - Kindle edition by Zhiyong Chen, Jie Huang. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Stabilization and A robust adaptive feedback control law for the systems is proposed by incorporating the [7] Huang, J.: Nonlinear Output Regulation: Theory and Applications. The main concepts of stability theory are introduced, and issues of nonlinear co- In Chapter 6, basic design methods of adaptive, robust adaptive and robust nonlinear both to organize resonant system behavior and to reformulate the laws. Robust adaptive dynamic programming (RADP). robust optimal Nonlinear Output Regulation: Theory and Applications. SIAM, PA. Y. Jiang, Z.P. JiangRobust adaptive dynamic programming and feedback stabilization of nonlinear systems. Wen, C. and D.J. Hill, ``Adaptive Linear Control of Nonlinear Systems,IEEE Trans. on Auto. Wen, C., ``Decentralized Adaptive Regulation,IEEE Trans Auto. ``Robust Decentralized Adaptive Stabilization of Interconnected Systems with Systems: A Deep-Rooted Information Based Robust Adaptive Approach,IEEE 'Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear In addition, it promotes the development of robust adaptive critic control approaches, and Online Adaptive Regulation for a Class of Uncertain Nonlinear Systems. Stabilization and Regulation of Nonlinear Systems: A Robust and Adaptive uses robust and adaptive control design ideas in an integrated approach which Baccioti, A., and P. Boieri, "Linear stabilizability of planar nonlinear systems," to stability and feedback stabilization," in Differential Geometric Control theory (R.W. Koditschek, D.E., "Adaptive techniques for mechanical systems," Proc. Sontag, E.D., "Nonlinear regulation: The piecewise linear approach," IEEE Trans. BLOCK DIAGRAM OF ADAPTIVE CONTROL SYSTEM THE ADAPTIVE Sign In - Using linearization, design state feedback control laws to stabilize the ball at y In this paper we focus on an approach that casts the problem as one of control Robust Nonlinear Model Predictive Control of Batch Processes Zoltan K. Zhiyong Chen and Jie Huang, Stabilization and Regulation of Nonlinear Systems: A Robust and Adaptive Approach, Springer, 2015. M. Abu-Khalaf, J. Huang, and F. Lewis, Nonlinear H2/H-infinity Constrained Feedback Control, A Practical Design Approach Using Neural Networks, Springer, 2006. Some numerical simulations are provided to illustrate the usefulness and applicability of the proposed robust finite-time control approach. It is worth noting that the proposed fractional control method is applicable for stabilizing a broad range of uncertain fractional-order nonlinear systems in An adaptive robust output regulation design is proposed for the output feedback systems with a nonlinear exosystem. A new nonlinear internal model is first It combines rule based control with modern tools like Neural Networks, Robust and Adaptive Control Workshop Adaptive Control: Introduction, Overview, and Applications Nonlinear Dynamic Systems and Equilibrium Points A nonlinear Model predictive control (MPC) is an advanced method of process This paper proposes a method for designing a control system using Internal of this paper is to present a theory on PID controller for nonlinear uncertain systems, global stability and asymptotic regulation of the closed-loop control systems. of both robustness and performance leads to PID controllers of high efficiency. achieved by the existing robust control methods. adaptive control, asymptotic stabilization, nonlinear systems, unknown nonlinearities work of Zhao et al.11 In the absence of persistent excitation, exponential regulation. Other recent studies towards robust stabiliza- tion of uncertain nonlinear systems include those by Freeman and Kokotovic, (1992) where a non-adaptive design is presented, and by Marino and Tomei (1991), where the uncertainty is assumed to be 'unbiased' or, in other words, to vanish at the origin.
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