Fact 1. Let $V$ and $W$ be locally convex vector spaces with families of seminorms $(r_k)_{k\in L}$ and $(q_\beta)_{\beta\in B}$, respectively. A linear map $T:V\to W$ is continuous iff for every $\beta\in B$, there exist $C \geq 0$ and $k_1,...,k_n\in L$ such that
$$q_\beta(Tv)\leq C\sum_{j=1}^n r_{k_j}(v),\qquad \forall\ v\in V.$$
Fact 2 (see p. 14). Let $W$ be a locally convex vector space. A linear map $T:\mathcal{D}(a,b)\to W$ is continuous iff $T:C_{K_j}^\infty(a,b)\to W$ is continuous for all $j\in\mathbb N$, where the (locally convex) topology of $C_{K_j}^\infty(a,b):=\{\phi\in C^\infty(a,b)\mid \text{supp}(\phi)\subset K_j\}$ is defined by the family $(r_{k,j})_{k\in\mathbb N}$ of seminorms having the form
$$r_{k,j}(\phi)=\sup\{|\partial^\alpha \phi|\mid |\alpha|\leq k, x\in K_j\}.$$
Fact 3 (see p. 533). A distribution on $(a,b)$ with values in $\mathcal{F}$ is (by definition) a continuous linear map $u$ from $\mathcal{D}(a,b)$ to $\mathcal{F}$.
It follows from facts 1 and 2 that a linear map $u: \mathcal{D}(a,b)\to \mathcal{F}$ is a distribution if:
For every $i\in\mathbb N$ and every $j\in\mathbb N$, there exist $C\geq 0$ and $k_1,...,k_n\in\mathbb N$ such that
$$p_i(\langle u, \phi\rangle)\leq C\sum_{m=1}^n \sup\{|\partial^\alpha \phi|\mid |\alpha|\leq k_m\}$$
forall $\phi\in \mathcal{D}(a,b)$ with $\text{supp}(\phi)\subset K_j$.
The above condition is equivalent to the following.
For every $i\in\mathbb N$ and every compact set $K\subset (a,b)$, there exist $C\geq 0$ and $N\in\mathbb N$ such that
$$p_i(\langle u, \phi\rangle)\leq C\sum_{|\alpha|\leq N} \sup|\partial^\alpha \phi|$$
forall $\phi\in \mathcal{D}(a,b)$ with $\text{supp}(\phi)\subset K$.
In particular, if $\mathcal{F}=X$ then there is only one seminorm $p_i(\langle u, \phi\rangle)=\|\langle u, \phi\rangle\|$ and thus we get the original definition.
(The OP posted a very similar answer some minutes before me. But as my answer was already written, I decided to post it too.)