To solve the problems in pendubot strategy based on partial feedback linearization and LQR, another control strategy based on fuzzy control and LQR is proposed.
基于部分反馈线性化与LQR方法结合的控制策略摇起时间短，控制器之间过渡平稳，但它有成功率不高、参数难调的缺点。
It showed that in both the complete and partial feedback conditions, information utilization pattern was varied over decision phases, and in turn influenced decision performance.
结果表明，在全反馈和半反馈条件下，决策信息利用模式都存在阶段差异，它与决策行动策略分布的变化有关，并影响决策绩效。
A method for direct sub-optimal design of finite time LQR problem with partial state feedback is advanced.
提出了部分状态反馈有限时间调节的LQR直接次优设计的方法。
Through adding a power integrator, a partial-state feedback law is constructed to solve the finite-time stabilization problem of the nonlinear systems.
通过利用“加幂积分器”的方法构造出了一个部分状态反馈控制律，解决了这类不确定非线性系统的有限时间镇定问题。
Through adding a power integrator, a partial-state feedback law is constructed to solve the finite-time stabilization problem of the nonlinear systems.
通过利用“加幂积分器”的方法构造出了一个部分状态反馈控制律，解决了这类不确定非线性系统的有限时间镇定问题。
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