A state space approach to the problem of adaptive pole assignment
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Publication:1109733
DOI10.1007/BF02551362zbMath0655.93038MaRDI QIDQ1109733
Publication date: 1989
Published in: MCSS. Mathematics of Control, Signals, and Systems (Search for Journal in Brave)
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Related Items (13)
On the zero dynamics of linear input–output models ⋮ Stability analysis of Elliott's direct adaptive pole placement ⋮ Dynamic output-feedback control of a chain of discrete-time integrators with arbitrary zeros and asymmetric input saturation ⋮ Adaptive LQ control: Conflict between identification and control ⋮ On the robustness of discrete-time indirect adaptive (linear) controllers ⋮ Nonlinear averaging analysis of the incremental pole placement adaptive controller ⋮ Singularity-free adaptive pole-placement without resorting to persistency of excitation: Detailed analysis for first order systems ⋮ Robust stable pole-placement-based adaptive control of continuous linear systems with two parametrical estimation schemes ⋮ Interval-excitation through impulse sequences. A technical lemma ⋮ Adaptive exponential stabilization for a class of nonlinear retarded processes ⋮ On identification of nonlinear regressions models: Application to the pole-zero cancellation problem in adaptive control ⋮ The pole-zero cancellation problem in adaptive control: A solution for minimum phase systems by approximate models ⋮ Robustly stable pole-placement based adaptive control of continuous linear systems with multiestimation
Cites Work
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- On the necessity of identifying the true parameter in adaptive LQ control
- Parameter adaptive identification and control
- A globally convergent adaptive pole placement algorithm without a persistency of excitation requirement
- Global stability of adaptive pole placement algorithms
- Adaptive control with the stochastic approximation algorithm: Geometry and convergence
- A parametrization for model reference adaptive pole placement
- Model-Reference Adaptive Control—Stability, Parameter Convergence, and Robustness
- Stable adaptive regulation of arbitrary nth-order plants
- Adaptive control via adaptive observation and asymptotic feedback matrix synthesis
- Adaptive control of nonminimum phase systems
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